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Mohamed Aashik, S., Pradeep Jayarama, N. S. Abishlal, T. Abinayaa Sri, and A. Jenin Benedict. "Smart Energy Management and Load Monitoring of Individual Loads." E3S Web of Conferences 405 (2023): 02013. http://dx.doi.org/10.1051/e3sconf/202340502013.
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As India continues to urbanise with its manufacturing sector growing, its energy demands have increased rapidly. In this period, the need for energy monitoring and conservation must be evident. So the consumers can monitor their load consumption by a digital wattmeter. But the digital wattmeter measures and shows the total power consumed by consumer appliances. The consumer has no idea about which appliance consumes more power. Also, the consumer will not be able to know whether any appliance is getting damaged. To resolve these issues, we have come up with this project which is an IOT-based energy monitoring and controlling system, used to measure the power consumed by each appliance (Load). The power consumed by each appliance can be monitored individually by the consumer and it also informs us if there is an issue through a web application. Also the web application stores the historical data of the power consumed by each load. An Internet of Things (IoT) technique was employed to make the system smart. A microcontroller with built-in Wi-Fi - ESP32 - was used to monitor and control each load using a web application.
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Santos, Ricardo, António Abreu, José Soares, Fernanda Mendes, and João M. F. Calado. "A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market." Applied Sciences 10, no. 9 (May 4, 2020): 3206. http://dx.doi.org/10.3390/app10093206.
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Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer’s decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance’s industry.
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Lin, Chien-Chi, and Chih-Ming Dong. "Exploring Consumers’ Purchase Intention on Energy-Efficient Home Appliances: Integrating the Theory of Planned Behavior, Perceived Value Theory, and Environmental Awareness." Energies 16, no. 6 (March 13, 2023): 2669. http://dx.doi.org/10.3390/en16062669.
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Extensive energy consumption has incurred global environmental problems such as climate change. Home appliances are highly used products and consume large amounts of energy. When widely applied, energy-efficient home appliances promote energy efficiency and reduce carbon emissions. Therefore, people’s intention to purchase these home appliances merits research attention. In this study, a comprehensive model was developed using the theories of planned behavior, perceived value, and environmental awareness. Data were collected through a questionnaire survey, to which 448 valid responses were returned, and analyzed using partial least squares. The results indicated that consumers’ intention to purchase energy-efficient home appliances was positively affected by their attitude toward purchasing the appliances. Such attitude was significantly and positively affected by functional value, price value, environmental value, and environmental awareness. However, consumers’ attitudes toward purchasing these appliances were not significantly affected by emotional value or social value. Suggestions were proposed on promoting consumer intention to purchase these home appliances according to the research results.
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Jolly, A. Joseph Succour. "Consumer Statisfaction with Rubber and Home Appliances." Indian Journal of Applied Research 3, no. 2 (October 1, 2011): 44–45. http://dx.doi.org/10.15373/2249555x/feb2013/15.
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Joshi, Gauri Yogesh, Pratima Amol Sheorey, and Aradhana Vikas Gandhi. "Analyzing the barriers to purchase intentions of energy efficient appliances from consumer perspective." Benchmarking: An International Journal 26, no. 5 (July 1, 2019): 1565–80. http://dx.doi.org/10.1108/bij-03-2018-0082.
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Purpose The purpose of this paper is to identify the barriers to consumers’ intention to purchase energy efficient appliances. It uses multiple regression analysis to predict the factors that deter consumers’ purchase intention. Design/methodology/approach Five barriers to consumers’ intention to purchase energy efficient appliances were identified through an exhaustive literature survey. Data were gathered from 300 respondents from Pune city from the state of Maharashtra in India through a survey. The items were measured on a five-point Likert scale. Validity and reliability of the scale were established. Multiple regression analysis was conducted to predict consumers’ intention to purchase energy efficient appliances based on factors identified. Findings Findings revealed that some degree of uncertainty was associated with energy efficient appliance purchase. In addition to possessing lower degrees of awareness on energy efficient appliances, consumers tend to disbelieve claims made on labels of energy efficient appliances. Consumers also feel inconvenience in identifying these appliances, spending time to know about them and paying the price to purchase them. Hence, the factors – scepticism towards label claims and perceived personal inconvenience – were found to have negative impact on consumers’ purchase intention. Societal norm was found to have a positive impact on consumers’ purchase intention. Interestingly, price sensitivity and perceived product risk (which were expected to have a negative relationship with consumers’ purchase intention) displayed a positive relationship. Research limitations/implications The model proposed here is based on the researcher’s identification of the barriers. There might have been unidentified barriers that were not considered. The research does not account for manufacturing or policy-based issues that might also pose as barriers. The study encourages marketers to re-examine marketing and communication policies associated with the sale of energy efficient appliances. Originality/value The paper provides insights into the external barriers faced by consumers while purchasing an energy efficient appliance. This research enables managers to understand consumer’s preference for conventional products over energy efficient ones. It attempts to check the presence of barriers to energy efficient appliances, identified from literature in a tier 1 city of India. Tier 1 city is the city with population greater than 1,00,000 as per 2001 census of India.
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Kaliyaperumal, N., and R. Bhuvaneswari. "A STUDY ON CONSUMER BEHAVIOUR WITH REFERENCE TO HOME APPLIANCES IN NAGAPPATTINAM TOWN." International Journal of Advanced Research 10, no. 01 (January 31, 2022): 496–99. http://dx.doi.org/10.21474/ijar01/14066.
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Marketing and consumer behaviour are so closely related that the study of consumer behaviour can be said to be the first step in refined marketing. Consumer behaviour study and consumer research are important allies of the marketer. The present study Consumer behaviour - A study with reference to home appliances is aimed analyzing the role of consumers involving pre-purchase activities and making the final decision. Consumer behaviour is the corner stone of marketing strategy. Business units aiming at increasing sales must understand the behaviour of consumers. A sample of 150 respondents possessing Indian made home-appliances covered in the study was selected, by using convenience sampling method. An understanding of consumer behaviour is essential in Marketing planning and programmes and one of the most important keys to successful marketing.
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Krotova, T. F., and J. Yin. "STUDY OF MODERN TRENDS IN INNOVATIVE DESIGN OF HOUSEHOLD APPLIANCES." Art and Design, no. 1 (May 23, 2023): 74–82. http://dx.doi.org/10.30857/2617-0272.2023.1.7.
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Purpose: to analyze the trends of modern home appliance design innovation through the exhibition scale and theme, industry hot topics, and keywords, based on the design samples of household appliances of the Appliance & electronics World Expo (AWE) exhibition from 2012 to 2021.
Methodology. Using the methods of observation, analysis, synthesis, and generalization, the information about the AWE exhibition has been analyzed, and the characteristics and elements of typical home appliance products in different periods have been studied.
Results: Analyzed the typical product design in China's home appliance industry, and studied the theme, key information and typical cases of the exhibition by tracking the AWE exhibition, integrated the current manufacturing development situation and consumer demand, output the current trend of home appliance product innovation, and provided referenceable suggestions for product innovation design of household appliances.
Scientific novelty: China National Appliance and Consumer Electronics Expo is the authoritative home appliance event in China, from which frontier information such as industry forums or conferences can be obtained. Systematic combing of previous exhibitions can express the stray key information intuitively, rise from practical significance to theoretical logic, clarify the main topics and core contents of the development of home appliances in different periods, and thus explore the innovation trend of home appliances in theoretical perspective.
Practical significance: The study of the development pulse of home appliance design innovation helps to understand the trend of home appliance development in the current social and industry context, providing manufacturing companies with the direction of innovation and transformation, as well as providing a viable reference value for the dynamic form and direction of development in the macro industry development.
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Dilotsotlhe, Nombulelo, and Helen Inseng Duh. "Drivers of Middle-Class Consumers’ Green Appliance Attitude and Purchase Behavior: A Multi-Theory Application." Social Marketing Quarterly 27, no. 2 (May 31, 2021): 150–71. http://dx.doi.org/10.1177/15245004211013737.
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Background: Some 80% of the South African (SA) middle class consumers use washing machines, electric cookers, fridges, freezers and other appliances. Considering the growing water and electricity shortages in SA, the government advocates the use of green appliances. However, the factors helping or hindering the positive attitudes, purchase and use of green appliances need examination. Focus of the article: This study focuses on the first and second steps of the community-based social marketing (CBSM) framework, whereby for behavioral change, behaviors, their drivers and barriers are to be examined before strategy formulation. Thus, this study first assessed SA black middle class consumers’ green appliances attitude, behavioral intention and actual behavior. It then integrated the Theory of Consumption Values (TCV), Diffusion of Innovations Theory (DOI), and Theory of Planned Behavior (TPB) to examine the consumer-related and product-related factors helping or hindering the green appliances attitudes, behavioral intentions and actual behavior. Research Hypotheses: From the integration of the TCV, DOI and TPB, a conceptual model was developed that proposed that consumer-related factors (functional, conditional, epistemic, emotional and social values) and product-related factors (relative advantage, complexity, compatibility and observability) will influence green appliances attitude, which with perceived behavioral control will impact behavioral intention, proposed as a driver of actual behavior. Methods: Considering that the black middle-class are a fast growing and large (about 4.2 million South Africans) community of consumers, cross-sectional quantitative data was collected from 500 black middle class consumers through self-administered questionnaires. Partial Least Squares Structural Equation Modeling was used to test 14 hypotheses. Results: The respondents expressed positive attitudes toward green appliances ( M = 5.80 on a 7-point Likert scale and positive intention to buy green appliances ( M = 5.78). Most of the study participants have purchased one or more green appliances ( M = 6.09). The integrated model explained 84.5% of attitude toward green appliances. The significant drivers of attitude were functional, conditional, and epistemic values (consumer-related factors), and relative advantage, compatibility, and observability (product-related factors). The attitude, social value and perceived behavioral control explained 83.1% of behavioral intention, which with PBC explained 24.2% of actual behavior. Recommendations for practice: Considering that the third step of the CBSM framework is to develop strategies for behavioral change, the South-African government, environmental agencies and social marketers should seek ways to reward the large segment of black middle class consumers, so that their positive green appliances attitudes and behavioral intentions can further be converted to actual purchase. The consumer-related and product-related drivers of attitudes and purchase behaviors identified in this study should be used to position and promote green appliances using the middle class consumers as opinion leaders or endorsers. Limitations: The main limitation is the use of a survey which limits provision of deeper insights into drivers and barriers of green appliances attitudes and behaviors.
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Giang, Nguyen ThiHuong. "The Impact of Consumer Animosity and Consumer Ethnocentrism on Intention to Purchase Foreign Products: The Case of Chinese Branded Household Appliances in Vietnam Market." Journal of Economics and Behavioral Studies 7, no. 4(J) (August 30, 2015): 22–36. http://dx.doi.org/10.22610/jebs.v7i4(j).591.
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Vietnam-China bilateral relationship has sharply declined due to the recent conflicts on both economic and political affairs. On top of that, the current controversial incident regarding the East Sea issue has constantly deteriorated the connection. At this critical time when the effects of consumers’ attitude toward Chinese products could not be overlooked, the empirical study aims to investigate the impacts of Consumer Animosity and Consumer Ethnocentrism on Purchase Intention of Chinese branded merchandise with the mediating role of Consumer Judgment. Household appliance category is chosen because of the dominance of Chinese brands in Vietnam market. In addition to the assessment of Animosity effect on Purchase Intention, the research is designated to examine its antecedences, including Perceived Economic Hardship and Normative Influences as well as their influences on Animosity. Structural Equation Modeling was utilized to test the theoretical framework, analyzing the data from a sample of 349 consumers with diverse backgrounds. The results have demonstrated that only Perceived economic hardship manifest a significant impacts on Animosity. Meanwhile, Animosity and Ethnocentrism have negative relationships with both Chinese branded household appliances Judgment and Purchase Intention. Overall, the study provides specific discussion and recommendations for the Vietnam household appliances industry and at the same time points into various directions for further researches.
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Harun, Siti Aminah, Muhammad Ashraf Fauzi, Nur Muneerah Kasim, and Walton Wider. "Determinants of Energy Efficient Appliances among Malaysian Households: Roles of Theory of Planned Behavior, Social Interaction and Appliance Quality." Asian Economic and Financial Review 12, no. 3 (April 5, 2022): 212–26. http://dx.doi.org/10.55493/5002.v12i3.4463.
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The purpose of this study is to investigate the determinants of purchasing intention of energy efficient appliances among Malaysian households. Consumer behavior, particularly when purchasing non-environmentally friendly products, contributes significantly towards environmental problems and climate change. This study adopts the theory of planned behavior as the basis and integrates it with two external domains, namely social interaction and the quality of energy efficient appliances. A total of 318 respondents participated and were analyzed via partial least squares structural equation modeling (PLS-SEM). Findings show that perceived behavioral control and subjective norms exert a significant and positive effect on consumers’ intention to purchase energy efficient appliances, while attitude has no significant influence. Meanwhile, social interaction and quality were found to be critical determinants of intention to purchase energy efficient appliances. Implications in the context of sustainable purchasing behavior and recommendations to increase consumers’ purchases of energy efficient appliances or green appliances are discussed.
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Leary, Jon, Bridget Menyeh, Vimbai Chapungu, and Karin Troncoso. "eCooking: Challenges and Opportunities from a Consumer Behaviour Perspective." Energies 14, no. 14 (July 19, 2021): 4345. http://dx.doi.org/10.3390/en14144345.
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New opportunities are opening for electric cooking (eCooking) as a cost-effective, practical and desirable solution to the twin global challenges of clean cooking and electrification. Globally, momentum is building behind the transformative potential of eCooking to achieve a range of environmental and social impacts. However, cooking is a complex, culturally embedded practice, that results in an array of behavioural change challenges that must be understood and overcome for these new opportunities to translate into impact at scale. The Modern Energy Cooking Services (MECS) programme was designed to explore this space and pilot innovative new eCooking services with the potential to rapidly scale. This paper reflects upon the programme’s key learnings to date on the behavioural change dimension of eCooking. It consolidates what we now know on the subject and highlights the gaps that remain, where further investigation is needed. The evidence shows that the uptake of eCooking can be hindered by (often false) perceptions around cost, taste and safety, the high cost and steep learning curve for new appliances, the lack of awareness/availability/after-sales service for energy-efficient appliances and the reluctance of male decision-makers to authorise appliance purchases. However, it also shows that the convenience and potential cost savings offered by energy-efficient appliances can offer an aspirational cooking experience and that uptake could be driven forward rapidly by urbanisation and changing lifestyles.
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Hossain, Imran, Maria Fekete-Farkas, and Md Nekmahmud. "Purchase Behavior of Energy-Efficient Appliances Contribute to Sustainable Energy Consumption in Developing Country: Moral Norms Extension of the Theory of Planned Behavior." Energies 15, no. 13 (June 23, 2022): 4600. http://dx.doi.org/10.3390/en15134600.
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Since energy consumption in developing countries has increased significantly, motivating energy-saving habits among citizens is an important issue both from the academic and industrial perspectives. Thus, this study aims to predict consumer purchase intention for energy-efficient household appliances based on an extended model of the Theory of Planned Behavior (TPB). This study incorporated two additional constructs of moral norms and environmental concern in the model of the TPB. A self-administered questionnaire was distributed to 1155 Bangladeshi consumers, and partial least squares structural equation modeling (PLS-SEM) regression was used to test the hypotheses. Results show that attitude, subjective norms, and perceived behavior control significantly influence consumer purchase intention of energy-efficient appliances (EEAs). This study also proved that the extension of moral norms is a significant predictor of consumers’ purchase intention in the classic theory of planned behavior (TPB). However, environmental concerns had no significant influence in the Bangladesh context. As far as the authors’ knowledge, this is the first empirical survey in Bangladesh to predict energy-efficient household appliance (EEHA) purchasing intentions using an extended model of the TPB. Marketers and policymakers can use the findings of this study to design strategies for generating more value for green consumers. The study also provides insights into environmental marketing and sustainable energy consumption in developing countries from theoretical and practical perspectives.
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Zhang, Jianwen, Jacob Cherian, Yawar Abbas Sandhu, Jawad Abbas, Laura Mariana Cismas, Constantin Viorel Negrut, and Lucia Negrut. "Presumption of Green Electronic Appliances Purchase Intention: The Mediating Role of Personal Moral Norms." Sustainability 14, no. 8 (April 12, 2022): 4572. http://dx.doi.org/10.3390/su14084572.
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This study focused on social and cognitive psychological factors that drive personal norms and consequent buying intentions towards green electric appliances. The study differentiates itself from other similar studies by examining the mediating role of consumer personal moral norms from the developing nation perspective. Following a cross-sectional study design, data were collected from 360 consumers in shopping malls using the purposive sampling technique and analyzed through partial least square structural equation modeling (PLS-SEM) analysis. It was found that personal moral norms are a significant positive predictor of consumer buying intentions. Moreover, injunctive norms, consideration of future consequences, and self-efficacy influenced directly and predicted personal consumer norms. We identified that these factors triggered the moral sentiments and individuals. Furthermore, these results support the mediating role of personal moral norms between injunctive social norms, consideration of future consequences, self-efficacy, and buying intentions, validating the concept that instigation of moral feeling among consumers supports the actualization of intentions to buy green electric products. This study’s results offer insights for green electric appliance researchers, marketers, and policymakers. Marketers can guide effective marketing strategies by focusing on moral, social, future consequences-oriented, and self-efficacy-related marketing communications.
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Shanta, M. V., E. G. Semenova, V. M. Milova, and M. S. Smirnova. "MODEL OF EVALUATION OF TECHNICAL LEVEL FOR HOUSEHOLD APPLIANCES." Issues of radio electronics, no. 10 (October 20, 2018): 30–38. http://dx.doi.org/10.21778/2218-5453-2018-10-30-38.
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The article presents a model, which includes the list of consumer qualities for evaluation of technical level of washing machines using developed scoring system for each characteristics and parameters weight coefficients. The evaluation of washing machines according to developed model is performed and recommendations for improving of quality level of washing machines in technical field are given. Evaluation of safety, functionality and reliability of appliance is a base for quality evaluation of household appliances. This topic is actual because the normative documents regulate the requirements for the product, but there is no methods, needed for evaluation of product from technical point of view. Novelty of the topic is that developed methodic allow to evaluate technical level of appliance, to define advantages and disadvantages of produced products based on weighting factors of parameters, calculated according to consumer properties and technical characteristics. The authors of this article defined following tasks: to develop registers of consumer properties with detailed nomenclature of indicators for evaluation of technical level according to normative documentation, to calculate weighting factors of parameters for each level of consumer properties, to define measurement method of each parameter, to develop evaluation model for technical properties and scale for evaluation. The developed method was used in production of household appliances (washing machines). During evaluation process, a number of models were evaluated and the products with low technical level were identified. The developed method gives an opportunity for production firms to analyze quality of products from point of view of safety, functionality and reliability and to define parameters, which are needed to be improved.
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LIEBERMAN, HALLIE. "Selling Sex Toys: Marketing and the Meaning of Vibrators in Early Twentieth-Century America." Enterprise & Society 17, no. 2 (March 16, 2016): 393–433. http://dx.doi.org/10.1017/eso.2015.97.
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The electromechanical vibrator originated in the late nineteenth century as a device for medical therapy. In the first three decades of the twentieth century, however, marketing of vibrators as consumer appliances became pervasive. Ads appeared in the pages ofThe New York TimesandScientific Americanand plastered street cars. Companies marketed vibrators to grandparents, mothers, infants, and young adults. Vibrators are widely sold today, however, as instruments for masturbation, a use that was rarely mentioned but well known before World War II. How was vibrator advertising able to become so ubiquitous during the early twentieth century, despite draconian antiobscenity laws and antimasturbation rhetoric? This article argues that companies achieved this result by shaping the meaning of vibrators through strategic marketing. This marketing overtly portrayed vibrators as nonsexual while covertly conveying their sexual uses through imagery and the sale of phallic, dildo-like attachments.Companies positioned vibrators within two major consumer product categories in the early 1900s: labor-saving household appliances and electrotherapeutic devices. By advertising the vibrator as both a labor-saving household appliance and a sexualized health panacea, companies could slip vibrator ads past the censors, while supplying user manuals that clued consumers into specific sexual uses. In household appliance ads, companies drew on traditional gender roles to present vibrators as emblems of domesticity and motherhood, whereas in electrotherapeutic ads they presented vibrators as symbols of progressive gender roles, the sexualized new woman and the body-conscious “self-made man.”
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Kumar, Rajesh. "Consumer Behaviour for Household Appliances inLudhiana." Journal of Commerce and Management Thought 6, no. 2 (2015): 355. http://dx.doi.org/10.5958/0976-478x.2015.00022.1.
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Brunzell, Lena, and Roger Renström. "Recommendations for revising the energy label system for dishwashers: supporting sustainable development and usage through the interaction of energy labels, technical improvements and consumer behaviour." Energy Efficiency 13, no. 1 (December 11, 2019): 145–55. http://dx.doi.org/10.1007/s12053-019-09835-6.
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AbstractHistorically, domestic chores such as washing dishes were all done by hand. Today it is estimated that 44% of the households in the EU are equipped with a dishwasher. In this article, we discuss the connections between technical developments, consumer behaviour and the test standard for energy labels. The aim of this study is to provide recommendations for future work that would strengthen the role of the energy label in order to promote the more sustainable technical development of household appliances. Technical developments are compared with the consequences of different consumer behaviour. It was found that technical developments could reduce annual energy use, but depending on the implemented technology, this is often complex and requires additional components. On the other hand, a consumer can easily increase energy usage by 50% without being aware of doing so, when goods are pre-treated, appliances incorrectly loaded, or inappropriate programs selected. Our recommendation is first of all to encourage the use of dishwashers as they consume less energy and water compared with washing up manually. A holistic approach should be taken to updating the energy labelling system. Actual consumer behaviour must be taken into account and, perhaps most importantly, as dishwashers are becoming ever more energy efficient, consumers must be educated in using the machines in an environmentally friendly way. We conclude that the energy labelling system is outdated; it must be fundamentally revised and must take into account consumer behaviour.
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Sijabat, Rosdiana. "Analisis Peran Mediasi Harga Terhadap Asosiasi Country Of Origin, Perceived Quality, dan Brand Image Terhadap Keputusan Pembelian." Jurnal Manajemen 17, no. 1 (October 30, 2020): 57–80. http://dx.doi.org/10.25170/jm.v17i1.1779.
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This article examines perceptions of the country of origin, perceived quality, and brand image of Chinese household appliance products on product purchasing decisions by Indonesian consumers mediated by consumer perceptions of prices. A total of 402 respondents who had purchased home appliances from China filled out questionnaires related to their perceptions of the products studied, and these perceptions were analyzed using PLS-SEM. The analysis results show that perceptions of the country of origin, perceived quality, and brand image have a positive and significant relationship to consumer decisions in buying household brand products from China in Indonesia. Perceptions of price mediate the relationship between country of origin, perceived quality, and brand image on purchasing decisions with positive associations. This study provides new insights into the relationship between country of origin, perceived quality, brand image, and price on product purchasing decisions from China in Indonesia, where both countries are developing countries. The study offers managerial implication on the importance of home appliance manufacturers from China to maintain affordable prices in the Indonesian market.
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Jamil, Aqib, Turki Ali Alghamdi, Zahoor Ali Khan, Sakeena Javaid, Abdul Haseeb, Zahid Wadud, and Nadeem Javaid. "An Innovative Home Energy Management Model with Coordination among Appliances using Game Theory." Sustainability 11, no. 22 (November 8, 2019): 6287. http://dx.doi.org/10.3390/su11226287.
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The feature of bidirectional communication in a smart grid involves the interaction between consumer and utility for optimizing the energy consumption of the users. For optimal management of the energy at the end user, several demand side management techniques are implemented. This work proposes a home energy management system, where consumption of household appliances is optimized using a hybrid technique. This technique is developed from cuckoo search algorithm and earthworm algorithm. However, there is a problem in such home energy management systems, that is, an uncertain behavior of the user that can lead to force start or stop of an appliance, deteriorating the purpose of scheduling of appliances. In order to solve this issue, coordination among appliances for rescheduling is incorporated in home energy management system using game theory. The appliances of the home are categorized in three different groups and their electricity cost is computed through the real-time pricing signals. Optimization schemes are implemented and their performance is scrutinized with and without coordination among the appliances. Simulation outcomes display that our proposed technique has minimized the total electricity cost by 50.6% as compared to unscheduled cost. Moreover, coordination among appliances has helped in increasing the user comfort by reducing the waiting time of appliances. The Shapley value has outperformed the Nash equilibrium and zero sum by achieving the maximum reduction in waiting time of appliances.
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Stasiuk, Katarzyna, and Dominika Maison. "The Influence of New and Old Energy Labels on Consumer Judgements and Decisions about Household Appliances." Energies 15, no. 4 (February 9, 2022): 1260. http://dx.doi.org/10.3390/en15041260.
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Energy efficiency is an increasingly important dimension of household appliances, which is why they are labeled to indicate their energy consumption. In 2020, the European Union countries changed the labeling system from the previous system: ranging from A+++ to D, to the new system: ranging from A to G, assuming it would be more transparent for the consumer. The aim of the study was to find out the extent to which consumers are aware of the new labeling system, and the impact that the new labels have (compared to the previous ones) on the perception of household appliances and consumer decision-making. For this purpose, the survey was conducted on a nationwide representative Polish sample (n = 1054). The research was partly experimental, where the same appliances were presented with new and previous energy labels. The results showed that currently most people do not identify the new energy classes. Furthermore, products with the new labels are perceived as being less energy efficient in comparison with products with the previous labels, which shows that there is some confusion among consumers in terms of the new energy efficiency labeling system.
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Baier, Lukas, Tobias Rackow, Toni Donhauser, Dirk Pfeffer, Peter Schuderer, and Jörg Franke. "Logistical Integration of Smart Homes for Automated Consumer Goods Supply Based on Smart Refrigerators." Advanced Engineering Forum 19 (October 2016): 107–15. http://dx.doi.org/10.4028/www.scientific.net/aef.19.107.
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Supply with daily consumer goods is a time consuming and quite inefficient task. Furthermore, some people may be dependent on caregivers resulting in additional costs. Hence, it offers opportunities for developing e-commerce solutions in order to enable customers to use otherwise wasted time for replenishment of their private food stocks more efficiently. Although, some digital stores for consumer goods have evolved recently, still only a small part of total sales, especially in food retail, is realized online. Due to inappropriate packaging there still are problems with the quality of fresh products. Also, current solutions for depositing parcels if the customer is absent are not suitable for fresh or cooled goods. Therefore, we show state of the art and developments necessary to establish the logistical integration and thereby enabling automated consumer goods supply in smart home environments. As smart appliances are playing an important role for enabling the automation, our focus is set on such hardware. To demonstrate customer acceptance of smart stocks in their private households, market research has been performed on smart refrigerators in place for every conceivable appliance capable of capturing consumer goods. Our results prove that especially younger generations are very interested in and willing to pay for intelligent appliances.
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Naumov, A. A. "The required quality of electrical energy provision." Power engineering: research, equipment, technology 22, no. 1 (April 30, 2020): 85–92. http://dx.doi.org/10.30724/1998-9903-2020-22-1-85-92.
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Methods of the electrical energy (EE) with the required quality provision in conditions of limited financial opportunities in the power supplying companies (PSC) are being discussed considering the foreign countries experience. It is proposed to develop and apply tariffs differentiated by the degree of EE reliability and quality, in compliance with the EE quality required for definite consumers. As a result, both consumers and PSC may get the best of tariffs application differentiated by the quality level. Consumers with power receiving appliances not demanding the high quality of EE will gain profit from payment reduction, whereas the consumers with power receiving appliances demanding the high quality of EE – from successful operation of electrical appliances, increase of their operating time and high quality of manufactured products provision. PSC acquire incentives for EE quality management upon the consumers’ request, as well as opportunities of more efficient use of financial resources directed at different quality EE provision to the consumer.
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Lee, Sangyoon, and Dae-Hyun Choi. "Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach." Sensors 20, no. 7 (April 10, 2020): 2157. http://dx.doi.org/10.3390/s20072157.
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This paper presents a hierarchical deep reinforcement learning (DRL) method for the scheduling of energy consumptions of smart home appliances and distributed energy resources (DERs) including an energy storage system (ESS) and an electric vehicle (EV). Compared to Q-learning algorithms based on a discrete action space, the novelty of the proposed approach is that the energy consumptions of home appliances and DERs are scheduled in a continuous action space using an actor–critic-based DRL method. To this end, a two-level DRL framework is proposed where home appliances are scheduled at the first level according to the consumer’s preferred appliance scheduling and comfort level, while the charging and discharging schedules of ESS and EV are calculated at the second level using the optimal solution from the first level along with the consumer environmental characteristics. A simulation study is performed in a single home with an air conditioner, a washing machine, a rooftop solar photovoltaic system, an ESS, and an EV under a time-of-use pricing. Numerical examples under different weather conditions, weekday/weekend, and driving patterns of the EV confirm the effectiveness of the proposed approach in terms of total cost of electricity, state of energy of the ESS and EV, and consumer preference.
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Abdelfattah, Abassi, Arid Ahmed, Laraki Maha, and Ben-Azza Hussain. "Energy Consumption Patterns and Inter-Appliance Associations using Data Mining Techniques." E3S Web of Conferences 336 (2022): 00040. http://dx.doi.org/10.1051/e3sconf/202233600040.
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In this paper, we propose to model the behaviors of Moroccan consumers in terms of energy consumption in different Moroccan buildings using the open MORED (A Moroccan Building Electricity Dataset) dataset as a data warehouse. The techniques used are Machine Learning Algorithms and Data Mining Techniques. The results obtained in this paper allow us to understand the behavior of a Moroccan consumer in terms of energy consumption and the use of appliances in the home. Inter-Appliance Association and Peak Hours detected in this study will be used later to develop an Energy Management System specifically for a Moroccan building. This can lay the foundation for efficient Energy Demand Management while improving end-user participation.
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TANASIICHUK, ALONA, LIUDMILA SEREDNYTSKA, and NATALIIA DOBROVOLSKA. "MARKETING SUPPORT FOR THE PROCESS OF STUDYING CONSUMER PREFERENCES ON THE HEATING APPLIANCES MARKET." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 300, no. 6 (December 3, 2021): 58–64. http://dx.doi.org/10.31891/2307-5740-2021-300-6-10.
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The article is devoted to the problems of marketing support for the process of studying consumer preferences on the market. It is proved that the study of consumer preferences involves the development of a system of marketing research of commodity markets and the determination which products the consumer prefers, the level of satisfaction with the product assortment on the market, how he chooses the place of purchase of the product, when he decides to buy the product, how the decision to re-purchase is made, on which characteristics he chooses the place and time of purchase of the product and so forth. It has been proven that the issue of ensuring the stability of relations with consumers (frequency of consumption, volume, ways, who is consumed), understanding the sensitivity of consumers to competitors’ brands require more detailed study. The purpose of the study is to develop a sequence of research of consumer preferences on the market of heating appliances on the basis of determining the frequency of consumption, modes of consumption, understanding the sensitivity of consumers to competitors’ brands. The study has demonstrated that in choosing an electric heater, buyers pay more attention to its technical characteristics and prefer to consult at the place of purchase. However, a significant number of users still choose online shopping, which means that enterprises should choose intermediaries which can sell in physical stores as well as online (online shopping is especially in demand in the period of the pandemic). One of the selection criteria for users of electric heaters has become the presence of additional auxiliary functions, such as shock protection, frost protection, protection against burns, child lock, thermostat, remote control, timer and warranty service. Enterprises need to improve their production, because this type of product is bought for long-term use, and therefore must meet all safety standards and be easy to use. The market of electric heaters in Ukraine is quite saturated with various brands, but not sufficiently developed in terms of advertising activities. In order to improve their market position, producers of electric heating appliances need to increase their advertising activity through various communication channels and media.
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Santos, Ricardo, J. C. O. Matias, and Antonio Abreu. "Using Evolutionary Algorithms to Achieve Sustainable Solutions through Household Appliances." Journal of Modeling and Optimization 11, no. 2 (December 15, 2019): 69–76. http://dx.doi.org/10.32732/jmo.2019.11.2.69.
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In order to reach a sustainable planet, there is a permanent need by the consumer (decision- agent), to achieve sustainable solutions, with its decisions. Given the importance of the buildings, as a sector to achieve such solutions, as well as the diversity of household appliances existent on the market, with all its different issues, there are several tradeoffs to consider (e.g. energy and water consumption vs initial investment), which difficult the consumer’s choices from the market. The problem increases, since nowadays, the consumer tries to get a solution from the market, with a good compromise between the Economic, Social and Environmental dimensions, and according to its specific needs, which can be different from other consumers. By considering a multicriteria approach, combined with an optimization technique, based on Evolutionary Algorithms (EA), it’s provided a set of sustainable solutions from the market to the consumer that respects the compromise referred before. In this work, it is presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on household appliances from the market and suitable to its needs. Based on the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions), by considering the consumer’s relative importance, regarding its Economics, Environmental and Social concerns.
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Mishin, A. "Features of the World Household Appliances Market." Bulletin of Science and Practice 7, no. 11 (November 15, 2021): 262–66. http://dx.doi.org/10.33619/2414-2948/72/32.
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This article analyzes the world market for household appliances. Its main tendencies, features of development are considered, factors influencing its development are considered. The study determined that different regions of the world have their own characteristics and reasons for the growth of the household appliances market. For example, North America is a developed market with high product penetration, with great emphasis on product advertising. In Europe, low interest rates on loans and a good economic situation play an important role. The European market is seeing an increase in demand for premium products. The Asia-Pacific home appliance market is expected to show strong growth, driven by rising household incomes, rapid urbanization, a growing middle class, easy access to goods through the development of retail channels, easy access to consumer finance and lifestyle changes.
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Hu, Yu-Chen, Yu-Hsiu Lin, and Harinahalli Lokesh Gururaj. "Partitional Clustering-Hybridized Neuro-Fuzzy Classification Evolved through Parallel Evolutionary Computing and Applied to Energy Decomposition for Demand-Side Management in a Smart Home." Processes 9, no. 9 (August 29, 2021): 1539. http://dx.doi.org/10.3390/pr9091539.
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The key advantage of smart meters over rotating-disc meters is their ability to transmit electric energy consumption data to power utilities’ remote data centers. Besides enabling the automated collection of consumers’ electric energy consumption data for billing purposes, data gathered by smart meters and analyzed through Artificial Intelligence (AI) make the realization of consumer-centric use cases possible. A smart meter installed in a domestic sector of an electrical grid and used for the realization of consumer-centric use cases is located at the entry point of a household/building’s electrical grid connection and can gather composite/circuit-level electric energy consumption data. However, it is not able to decompose its measured circuit-level electric energy consumption into appliance-level electric energy consumption. In this research, we present an AI model, a neuro-fuzzy classifier integrated with partitional clustering and metaheuristically optimized through parallel-computing-accelerated evolutionary computing, that performs energy decomposition on smart meter data in residential demand-side management, where a publicly available UK-DALE (UK Domestic Appliance-Level Electricity) dataset is used to experimentally test the presented model to classify the On/Off status of monitored electrical appliances. As shown in this research, the presented AI model is effective at providing energy decomposition for domestic consumers. Further, energy decomposition can be provided for industrial as well as commercial consumers.
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Ayub, Muhammad Ahsan, Hufsa Khan, Jianchun Peng, and Yitao Liu. "Consumer-Driven Demand-Side Management Using K-Mean Clustering and Integer Programming in Standalone Renewable Grid." Energies 15, no. 3 (January 29, 2022): 1006. http://dx.doi.org/10.3390/en15031006.
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Many countries have larger land areas and scattered communities. Therefore, to electrify them, small standalone power systems are the more preferred and cost-efficient solution as compared to utility grid extensions. The main objective of a standalone power system is to supply cleaner, cheaper, and uninterrupted electricity. However, for standalone power systems, demand-side management always remains a challenging task. In this paper, a load scheduling algorithm driven by K-mean clustering and linear integer programming to schedule consumers’ appliances for the upcoming day is proposed. In addition, the basic power to run the necessary appliances is kept available in the system all the time. Furthermore, to assist the consumer in every situation, the battery storage system and the overall system size reduction are also taken into consideration. Consumer input is also used in scheduling the appliances. The proposed method is evaluated on the publicly available real-world dataset; the simulation results demonstrate that the proposed approach performs better, due to which the reliability and continuity of the system are increased.
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Powroźnik, Piotr, Robert Szulim, Wiesław Miczulski, and Krzysztof Piotrowski. "Household Energy Management." Applied Sciences 11, no. 4 (February 11, 2021): 1626. http://dx.doi.org/10.3390/app11041626.
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Ensuring flexibility and security in power systems requires the use of appropriate management measures on the demand side. The article presents the results of work related to energy management in households in which renewable energy sources (RES) can be installed. The main part of the article is about the developed elastic energy management algorithm (EEM), consisting of two algorithms, EEM1 and EEM2. The EEM1 algorithm is activated in time periods with a higher energy price. Its purpose is to reduce the power consumed by the appliances to the level defined by the consumer. In contrast, the EEM2 algorithm is run by the Distribution System Operator (DSO) when peak demand occurs. Its purpose is to reduce the power of appliances in a specified time period to the level defined by the DSO. The optimization tasks in both algorithms are based on the Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic algorithm. The EEM1 and EEM2 algorithms also provide energy consumer comfort. For this purpose, both algorithms take into account the smart appliance parameters proposed in the article: sections of the working devices, power reduction levels, priorities and enablingof time shifting devices. The EEM algorithm in its operation also takes into account the information about the production of power, e.g., generated by the photovoltaic systems. On this basis, it makes decisions on the control of smart appliances. The EEM algorithm also enables inverter control to limit the power transferred from the photovoltaic system to the energy system. Such action is taken on the basis of the DSO request containing the information on the power limits. Such a structure of EEM enables the balancing of energy demand and supply. The possibility of peak demand phenomenon will be reduced. The simulation and experiment results presented in the paper confirmed the rationality and effectiveness of the EEM algorithm.
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Ghosh, Chinmoy, and Sujit Mukherjee. "An exploratory study on marketing strategies of selected home appliances at kolkata metropolitan." International journal of social sciences and humanities 3, no. 2 (June 26, 2019): 47–61. http://dx.doi.org/10.29332/ijssh.v3n2.292.
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A study focuses on two aspects first, how existing marketing strategy provides a push the customer for selecting particular home appliances and the second one how demand on customers are motivated though using that marketing strategy. Because marketing strategies are just the ingredients which help to attract the consumer towards the product. So we conclude that our study focuses on two aspects first, how existing marketing strategy proves a push the customer for selecting particular home appliances and the second one how demand on customers are motivated though using that marketing strategy. In both cases, we found that there must be a strong correlation between the marketing strategies which prove a push or poke (shock- knock at the customer’s choice) while selecting a particular home appliance.
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Ahmed, Maytham S., Hussein Shareef, Azah Mohamad, Jamal Abd Ali, and Ammar Hussein Mutlag. "Rule Base Home Energy Management System Considering Residential Demand Response Application." Applied Mechanics and Materials 785 (August 2015): 526–31. http://dx.doi.org/10.4028/www.scientific.net/amm.785.526.
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The increasing number of consumer and household appliances causes the rise in home energy use. Therefore, home energy management (HEM) technology is essential to manage and reduce electricity consumption. The objective of this paper is to present an intelligent algorithm for HEM using rule base technique to manage the power consumption with demand response (DR) feature. The scheduling algorithm considers household loads according to the comfort level, customer preference setting and priority of appliance that can be managed at a given time. The algorithm guarantees the total power consumption to be below the electrical demand limit. To exhibit the performance of the proposed HEM, a number of simulations are carried out including DR signal from the network operator. The results show that the algorithm can effectively respond to DR signal, comfort level, customer preference setting and priority of appliance. Furthermore, the algorithm is simple to implement and has flexibility to control the appliances.
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Samadi, Mikhak, Javad Fattahi, Henry Schriemer, and Melike Erol-Kantarci. "Demand Management for Optimized Energy Usage and Consumer Comfort Using Sequential Optimization." Sensors 21, no. 1 (December 28, 2020): 130. http://dx.doi.org/10.3390/s21010130.
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The Energy-efficiency of demand management technologies and customer’s experience have emerged as important issues as consumers began to heavily adopt these technologies. In this context, where the electrical load imposed on the smart grid by residential users needs to be optimized, it can be better managed when customer’s comfort parameters are used, such as thermal comfort and preferred appliance usage time interval. In this paper a multi-layer architecture is proposed that uses a multi-objective optimization model at the energy consumption level to take consumer comfort and experience into consideration. The paper shows how our proposed Clustered Sequential Management (CSM) approach could improve consumer comfort via appliance use scheduling. To quantify thermal comfort, we use thermodynamic solutions for a Heating Ventilation and Air Conditioner (HVAC) system and then apply our scheduling model to find the best time slot for such thermal loads, linking consumer experience to power consumption. In addition to thermal loads, we also include non-thermal loads in the cost minimization and the enhanced consumer experience. In this hierarchal algorithm, we classified appliances by their load profile including degrees of freedom for consumer appliance prioritization. Finally, we scheduled consumption within a Time of Use (ToU) pricing model. In this model, we used Mixed Integer Linear Programming (MILP) and Linear Programming (LP) optimization for different categories with different constraints for various loads. We eliminate the customer’s inconvenience on thermal load considering ASHRAE standard, increase the satisfaction on EV optimal chagrining constrained by minimum cost and achieve the preferred usage time for the non-interruptible deferrable loads. The results show that our model is typically able to achieve cost minimization almost equal to 13% and Peak-to-Average Ratios (PAR) reduction with almost 45%.
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Nabi, Mohammed Irshadun, and Mohammed Kamalun Nabi. "Consumer Protection: Policy and Law in India." Studies in Social Science Research 1, no. 1 (May 21, 2020): p39. http://dx.doi.org/10.22158/sssr.v1n1p39.
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Consumer Protection Policy creates an environment where consumers receive satisfaction from the goods or services availed by them. One of the disquieting features of consumerism is that an average consumer continues to suffer due to poverty, illiteracy, ignorance or general apathy. Adulterated food, spurious medicines and substandard domestic appliances etc., are pushed over the counter with ease. Glossy and unethical advertisements are published in the print and electronic media with intent to allure and dupe gullible consumers. So, it becomes imperative for the State to initiate steps for safeguarding the interest of consumers by enacting suitable legislations. The present study is a modest attempt at ascertaining the need for consumer protection, identification of factors responsible for exploitation of consumers, and the role law can play in protecting consumer rights visa-a-vis the vendors and in striking a balance between the interests of the two.
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Hossain, Imran, Md Nekmahmud, and Maria Fekete-Farkas. "How Do Environmental Knowledge, Eco-Label Knowledge, and Green Trust Impact Consumers’ Pro-Environmental Behaviour for Energy-Efficient Household Appliances?" Sustainability 14, no. 11 (May 26, 2022): 6513. http://dx.doi.org/10.3390/su14116513.
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Pro-environmental behaviour (PEB) helps individuals to minimize the negative effects of their actions on the environment; for example, by recycling and reducing energy consumption. This study aimed to explore consumers’ attitudes and trust in energy-efficient household appliances and their environmental and eco-label knowledge to determine how these may affect pro-environmental behaviour (PEB). In addition, the study examined the mediating effects of attitude and green trust on the proposed frameworks of environmental and eco-label knowledge in relation to consumer pro-environmental behaviour. PLS-SEM (Partial Least Squares–Structural Equation Modelling) was applied to a study from Bangladesh to examine hypotheses proposed from the data generated by 1510 valid respondents relating to their experiences of using household energy-efficient products. The results showed that environmental knowledge, eco-label knowledge, attitude, and green trust all significantly correlated with consumer pro-environmental behaviour. In addition, attitude and green trust significantly mediated the relationship between environmental knowledge, eco-label knowledge, and pro-environmental behaviour. This study also found that green trust positively affects consumer attitudes, and that those attitudes serve as a significant mediator between green trust and pro-environmental behaviour. An IPMA (importance-performance matrix analysis) map indicated that the total effects of environmental attitude and eco-label knowledge were more important to defining the pro-environmental behaviour of consumers than those of environmental knowledge and green trust. To the best of the authors’ knowledge, this research introduces for the first time an empirical survey that provides a new theoretical framework for consumer pro-environmental behaviour in regard to energy-efficient household appliances in the context of a developing country. Suggestions are provided on ways to promote energy-saving appliances from theoretical and practical perspectives.
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Shewale, Amit, Anil Mokhade, Nitesh Funde, and Neeraj Dhanraj Bokde. "A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes." Energies 15, no. 8 (April 14, 2022): 2863. http://dx.doi.org/10.3390/en15082863.
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The residential sector is a major contributor to the global energy demand. The energy demand for the residential sector is expected to increase substantially in the next few decades. As the residential sector is responsible for almost 40% of overall electricity consumption, the demand response solution is considered the most effective and reliable solution to meet the growing energy demands. Home energy management systems (HEMSs) help manage the electricity demand to optimize energy consumption without compromising consumer comfort. HEMSs operate according to multiple criteria, including electricity cost, peak load reduction, consumer comfort, social welfare, environmental factors, etc. The residential appliance scheduling problem (RASP) is defined as the problem of scheduling household appliances in an efficient manner at appropriate periods with respect to dynamic pricing schemes and incentives provided by utilities. The objectives of RASP are to minimize electricity cost and peak load, maximize local energy generation and improve consumer comfort. To increase the effectiveness of demand response programs for smart homes, various demand-side management strategies are used to enable consumers to optimally manage their loads. This study lists out DSM techniques used in the literature for appliance scheduling. Most of these techniques aim at energy management in residential sectors to encourage users to schedule their power consumption in an effective manner. However, the performance of these techniques is rarely analyzed. Additionally, various factors, such as consumer comfort and dynamic pricing constraints, need to be incorporated. This work surveys most recent literature on residential household energy management, especially holistic solutions, and proposes new viewpoints on residential appliance scheduling in smart homes. The paper concludes with key observations and future research directions.
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Rashid, Md Mamun Ur, Fabrizio Granelli, Md Alamgir Hossain, Md Shafiul Alam, Fahad Saleh Al-Ismail, Ashish Kumar Karmaker, and Md Mijanur Rahaman. "Development of Home Energy Management Scheme for a Smart Grid Community." Energies 13, no. 17 (August 19, 2020): 4288. http://dx.doi.org/10.3390/en13174288.
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The steady increase in energy demand for residential consumers requires an efficient energy management scheme. Utility organizations encourage household applicants to engage in residential energy management (REM) system. The utility’s primary goal is to reduce system peak load demand while consumer intends to reduce electricity bills. The benefits of REM can be enhanced with renewable energy sources (RESs), backup battery storage system (BBSS), and optimal power-sharing strategies. This paper aims to reduce energy usages and monetary cost for smart grid communities with an efficient home energy management scheme (HEMS). Normally, the residential consumer deals with numerous smart home appliances that have various operating time priorities depending on consumer preferences. In this paper, a cost-efficient power-sharing technique is developed which works based on priorities of appliances’ operating time. The home appliances are sorted on priority basis and the BBSS are charged and discharged based on the energy availability within the smart grid communities and real time energy pricing. The benefits of optimal power-sharing techniques with the RESs and BBSS are analyzed by taking three different scenarios which are simulated by C++ software package. Extensive case studies are carried out to validate the effectiveness of the proposed energy management scheme. It is demonstrated that the proposed method can save energy and reduce electricity cost up to 35% and 45% compared to the existing methods.
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Lesic, Vedran, Brock Glasgo, Tamar Krishnamurti, Wändi Bruine de Bruin, Matthew Davis, and Inês Lima Azevedo. "Comparing consumer perceptions of appliances’ electricity use to appliances’ actual direct-metered consumption." Environmental Research Communications 1, no. 11 (October 21, 2019): 111002. http://dx.doi.org/10.1088/2515-7620/ab4a99.
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Qi, Wenjing, Di Wu, Mengjie Wang, Mengqin Dan, and Yu Zhang. "Research on Consumption Behavior of Green Household Appliances under the Background of Carbon Neutrality." Highlights in Business, Economics and Management 1 (November 28, 2022): 1–7. http://dx.doi.org/10.54097/hbem.v1i.2309.
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With the gradual implementation of China's "Carbon Neutral" policy, the concept of green consumption has gradually penetrated into consumers' daily life, and innovative green household appliances have emerged one after another, affecting consumers' green purchase behavior. Based on this, this paper conducts an empirical analysis from the perspective of consumer psychological mechanism, government behavior, green purchase intention and behavior. The results are as follows: green purchase intention is significantly and positively affected by consumer innovation and the effectiveness of cognitive behavior, as well as by the government environment. Besides, Green purchase intention plays an intermediary role between policy environment and green purchase behavior.
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Molla1, Tesfahun, Baseem Khan1*, and Pawan Singh2. "A comprehensive analysis of smart home energy management system optimization techniques." Journal of Autonomous Intelligence 1, no. 1 (October 14, 2018): 15. http://dx.doi.org/10.32629/jai.v1i1.14.
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Development of smart grid technology provides an opportunity to various consumers in context for scheduling their energy utilization pattern by themselves. The main aim of this whole exercise is to minimize energy utilization and reduce the peak to average ratio (PAR) of power. The two way flow of information between electric utilities and consumers in smart grid opened new areas of applications. The main component is this management system is energy management controller (EMC), which collects demand response (DR) i.e. real time energy price from various appliances through the home gateway (HG). An optimum energy scheduling pattern is achieved by EMC through the utilization of DR information. This optimum energy schedule is provided to various appliances via HG. The rooftop photovoltaic system used as local generation micro grid in the home and can be integrated to the national grid. Under such energy management scheme, whenever solar generation is more than the home appliances energy demand, extra power is supplied back to the grid. Consequently, different appliances in consumer premises run in the most efficient way in terms of money. Therefore this work provides the comprehensive review of different smart home appliances optimization techniques, which are based on mathematical and heuristic one.
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Razali, Muhammad Azrin Shah, Mahirah Kamaludin, and A. A. Azlina. "Consumer Preference for Energy Label in the Purchase Decision of Refrigerator: A Discrete Choice Experiment Approach in the East Coast, Malaysia." International Journal of Energy Economics and Policy 12, no. 3 (May 18, 2022): 441–50. http://dx.doi.org/10.32479/ijeep.13063.
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Energy label is a widely used policy instrument to increase consumer awareness of energy-efficient home appliances. It helps consumers make better informed purchasing decision intending to save on the electricity bill. The increase in energy efficiency for a household can generate significant energy savings and emissions reduction which can reduce environmental impact. The energy label targets to fight climate change, protect the environment and is significant to support Sustainable Development Goals (SDGs). This study presents the results of a discrete choice experiment (DCE) on the East Coast, Malaysia to investigate the consumer preferences for energy label in the purchasing decision of a refrigerator. Multinomial logit (MNL) and mixed logit (ML) models are specified to measure the attributes that consumers assess when choosing refrigerators. This study focuses on four attributes, namely energy star, energy consumption, energy saving and refrigerator price. Findings show that consumers have responded positively to the labels, in which about 88.11% of respondents are willing to pay to get better quality appliances that promote a safe environment while 11.89% of respondents are not willing to pay. The findings are useful in improving the effectiveness of existing energy efficiency and labelling programs to accelerate the adoption of energy-efficient technology in Malaysia. Hence, the implementation of energy label promotes energy-efficient appliances, which is in line with SDG Goal 7: Ensuring access to affordable, reliable, sustainable, and modern energy for all.
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Leber, Marjan, Andrea Ivanišević, Jelena Borocki, Mladen Radišić, and Beata Ślusarczyk. "Fostering Alliances with Customers for the Sustainable Product Creation." Sustainability 10, no. 9 (September 7, 2018): 3204. http://dx.doi.org/10.3390/su10093204.
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Our paper analyzes close collaboration between a manufacturer of domestic appliances and consumer electronics and its customers. It reflects on the inclusion of open innovation by users that is presented in the paper on the case of the development of the refrigerator door handle, with an emphasis on design and functionality. The main research question we wanted to answer was whether a buyer (customer/consumer) might actively participate in the process of a new product development. It was interesting to test it in a highly dynamic industry setup since white goods are becoming an integral part of consumers’ life style and not just a mere home appliances used for routine housekeeping tasks. Research sample includes 146 respondents. We applied the conjoint analysis and quality function deployment (QFD) in order to test and understand how customers perceive the different attributes of a new product development process.
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Akhtar, Mohd Majid, Mohammad Zubair Khan, Mohd Abdul Ahad, Abdulfattah Noorwali, Danish Raza Rizvi, and Chinmay Chakraborty. "Distributed ledger technology based robust access control and real-time synchronization for consumer electronics." PeerJ Computer Science 7 (June 1, 2021): e566. http://dx.doi.org/10.7717/peerj-cs.566.
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Background Consumer electronics or daily use home appliances are the basic necessity of every household. With the adoption of IoT in consumer electronics, this industry is set to rise exponentially. In recent times, the demand for consumer electronics rises amidst the pandemic due to a paradigm shift from in-office culture to work from home. Despite intelligent IoT devices, smart home configuration, and appliances at our disposal, the rudimentary client-server architecture fails to provide facilities like full access control of data and devices, transparency, secured communication, and synchronization between multiple devices, etc. to the users. Methods To overcome these limitations, Blockchain technology has been adopted in recent years, however, it has its own set of limitations in its widespread implementation. Hence, we propose a methodology using the IOTA platform, a distributed ledger technology (DLT) for secured communication between consumer electronics devices and appliances. Results The implementation provides access control, interoperability, data storage, and management with an exploratory insight towards a decentralized micro-payment use-case between Electric cars and charging stations.
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Patissier, Bruno. "Humidity sensors for automotive, appliances and consumer applications." Sensors and Actuators B: Chemical 59, no. 2-3 (October 1999): 231–34. http://dx.doi.org/10.1016/s0925-4005(99)00226-9.
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Arakawa, Fumio, Tetsuya Yamada, Takashi Okada, Makoto Ishikawa, Yuki Kondo, Motokazu Ozawa, Tomoyuki Kodama, et al. "Development of processor cores for digital consumer appliances." Systems and Computers in Japan 37, no. 3 (2006): 10–19. http://dx.doi.org/10.1002/scj.20450.
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Dyer, Robert F., and Thomas J. Maronick. "An Evaluation of Consumer Awareness and Use of Energy Labels in the Purchase of Major Appliances: A Longitudinal Analysis." Journal of Public Policy & Marketing 7, no. 1 (January 1988): 83–97. http://dx.doi.org/10.1177/074391568800700107.
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The National Energy Policy and Conservation Act of 1978 requires the Federal Trade Commission to mandate labels for appliances indicating their energy consumption. The purposes of this study are to measure the level of awareness of appliance energy labels by recent purchasers of refrigerators and washers, and to measure changes in the degree to which energy considerations entered into the purchase decisions of national samples of consumers before and after introduction of the FTC program.
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Cao, Ruobing. "Comparative Analysis of Investment Value in Chinese Household Appliance Industry." Highlights in Business, Economics and Management 13 (May 29, 2023): 192–97. http://dx.doi.org/10.54097/hbem.v13i.8814.
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As an important part of the consumption field, household appliances play a key role in China's economic growth. After 30 years of development, China's home appliance industry has made remarkable achievements and occupies an important position in the world's home appliance industry. It has become the largest manufacturing base and consumer market of home appliances in the world, leading international counterparts in cost and quality, with obvious advantages. There is no doubt that the value of an investment in China's home appliance industry is also growing. Therefore, this paper adopts appropriate evaluation methods to study the investment value of three major home appliance companies in China -- Haier Zhijia, Gree Electric, and Changhong Meiling, so that the majority of investors can realize their investment value, and at the same time, it also contributes its own strength to guide investors to make rational value investment and promote the healthy development of Chinese capital market. This paper compares and analyzes their investment value from three aspects: risk ratio, profitability ratio, and market value ratio. Based on the analysis, the conclusion of this paper is that these three companies are basically excellent, have broad investment value, and Haier Zhijia has the most development prospects.
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Pano, Marijon. "Measurements of Standby Power Consumption of Domestic Appliances in Albania." European Journal of Interdisciplinary Studies 3, no. 1 (January 21, 2017): 71. http://dx.doi.org/10.26417/ejis.v3i1.71-74.
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Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significant and cannot be ignored. The appliances with the largest standby losses were coffee machines, televisions, set-top boxes and printers. They account for a significant proportion of the electricity consumption in more and more Albanian households. The wide variation in the standby power of appliances providing the same benefits indicates that producers are able to reduce standby losses without degrading performance. The standby power consumption of various domestic appliances was determined using an energy smart meter and data-logger connected with a computer. The purpose of this paper is to estimate how much power is wasted in a typical Albanian home due to household appliances being in the standby mode.
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Pano, Marijon. "Measurements of Standby Power Consumption of Domestic Appliances in Albania." European Journal of Interdisciplinary Studies 3, no. 1 (January 21, 2017): 71. http://dx.doi.org/10.26417/ejis.v3i1.p71-74.
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Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significant and cannot be ignored. The appliances with the largest standby losses were coffee machines, televisions, set-top boxes and printers. They account for a significant proportion of the electricity consumption in more and more Albanian households. The wide variation in the standby power of appliances providing the same benefits indicates that producers are able to reduce standby losses without degrading performance. The standby power consumption of various domestic appliances was determined using an energy smart meter and data-logger connected with a computer. The purpose of this paper is to estimate how much power is wasted in a typical Albanian home due to household appliances being in the standby mode.
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Pano, Marijon. "Measurements of Standby Power Consumption of Domestic Appliances in Albania." European Journal of Interdisciplinary Studies 7, no. 1 (January 21, 2017): 71. http://dx.doi.org/10.26417/ejis.v7i1.p71-74.
Full textAbstract:
Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significant and cannot be ignored. The appliances with the largest standby losses were coffee machines, televisions, set-top boxes and printers. They account for a significant proportion of the electricity consumption in more and more Albanian households. The wide variation in the standby power of appliances providing the same benefits indicates that producers are able to reduce standby losses without degrading performance. The standby power consumption of various domestic appliances was determined using an energy smart meter and data-logger connected with a computer. The purpose of this paper is to estimate how much power is wasted in a typical Albanian home due to household appliances being in the standby mode.