Relevant bibliographies by topics / Energy consumption

Academic literature on the topic 'Energy consumption'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Energy consumption"

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Boggs, Danny J. "Energy Consumption." Science 248, no. 4959 (June 1990): 1066. http://dx.doi.org/10.1126/science.248.4959.1066.b.

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Bodansky, David. "Energy Consumption." Science 242, no. 4877 (October 21, 1988): 348. http://dx.doi.org/10.1126/science.242.4877.348.a.

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Boggs, D. J. "Energy Consumption." Science 248, no. 4959 (June 1, 1990): 1066. http://dx.doi.org/10.1126/science.248.4959.1066-a.

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Sun, Zhong, Yingxia Yun, Na Li, and Zhonghua Xu. "Energy Consumption Building Design in Tianjin, China." Journal of Clean Energy Technologies 5, no. 5 (September 2017): 394–99. http://dx.doi.org/10.18178/jocet.2017.5.5.404.

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Berni, Mauro D., Ivo L. Dorileo, and Paulo C. Manduca. "Energy Consumption of Sugarcane and Corn Culture." Journal of Clean Energy Technologies 5, no. 5 (September 2017): 400–404. http://dx.doi.org/10.18178/jocet.2017.5.5.405.

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Matsumoto, Shigeru, Kenichi Mizobuchi, and Shunsuke Managi. "Household energy consumption." Environmental Economics and Policy Studies 24, no. 1 (November 29, 2021): 1–5. http://dx.doi.org/10.1007/s10018-021-00331-9.

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Ramos, Carlos, Zita Vale, Peter Palensky, and Hiroaki Nishi. "Sustainable Energy Consumption." Energies 14, no. 20 (October 14, 2021): 6665. http://dx.doi.org/10.3390/en14206665.

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Pablo-Romero, María P., Antonio Sánchez-Braza, and Manuel González-Pablo Romero. "Renewable energy in Latin America." AIMS Energy 10, no. 4 (2022): 695–717. http://dx.doi.org/10.3934/energy.2022033.

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<abstract> <p>Since the signing of the Paris Agreement in 2015, signatory countries have been adopting commitments to promote the use of renewable energy. Among the signatory countries, those of Latin America have stood out for the high percentage of renewables in their energy mix and their commitment to continue advancing towards energy decarbonization. This commitment implies the need to adequately recognize the starting point of renewable energy consumption in the region, and its relationship with the population and regional production. This study analyzes the evolution of renewable energy consumption in the Latin American region and its member countries, in relation to the Worldwide position, from 1993 to 2018. For this, the direct consumption of renewable energies and the energy used to generate electricity and heat, have been considered. These values are analyzed in Worldwide per capita and per unit production terms. The results show that the Latin American region has a higher percentage of renewables in its energy mix than Worldwide, with this percentage being even higher when considering only the consumption of renewable energies of indirect origin. Brazil stands out for the share of its renewable consumption. In terms of per capita renewable energy consumption, Latin America presents higher values than those achieved Worldwide, with a growing trend throughout the studied period. The renewable energy intensity is also higher in Latin America, with a decreasing trend, as experienced Worldwide.</p> </abstract>
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Lim, Seul-Ye, Jae-Hyung Park, and Seung-Hoon Yoo. "Assessment of the Economic Benefits from Electricity Consumption." Journal of Energy Engineering 24, no. 2 (June 30, 2015): 9–16. http://dx.doi.org/10.5855/energy.2015.24.2.009.

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Wiame, Ech-Chelfi. "Modelling Energy Consumption of Freight Road with MLR." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (February 13, 2020): 71–79. http://dx.doi.org/10.5373/jardcs/v12sp1/20201048.

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Dissertations / Theses on the topic "Energy consumption"

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Mandryka, V. "Energy efficiency in energy consumption systems." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40670.

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There has been used four times more energy in the world compared to 1950 year. The main share falls primarily on households and the growing industry. The economic downturn in Ukraine and the countries of former USSR does not influence the consumption of energy – it remains high.
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Wilke, Claas, Sebastian Richly, Christian Piechnick, Sebastian Götz, Georg Püschel, and Uwe Aßmann. "Comparing Mobile Applications' Energy Consumption." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-101525.

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As mobile devices are nowadays used regularly and everywhere, their energy consumption has become a central concern for their users. However, mobile applications often do not consider energy requirements and users have to install and try them to reveal information on their energy behavior. In this paper, we compare mobile applications from two domains and show that applications reveal different energy consumption while providing similar services. We define microbenchmarks for emailing and web browsing and evaluate applications from these domains. We show that non-functional features such as web page caching can but not have to have a positive influence on applications' energy consumption.
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Hopeman, Lisa Maria. "Energy consumption of building 39." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40430.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.
Includes bibliographical references (leaf 32).
The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and with that knowledge be able to recommend methods of reducing energy consumption by minimizing and even eliminating careless energy use. The largest energy consuming building per square foot, Building 39, was selected and analyzed in detail. This thesis proves the unnecessarily high airflows and irresponsible fan use are the source of Building 39's wasteful consumption of energy. Research revealed that the recirculating fans drew the most energy and were continuously running on full power. If the fans were turned down during off peak times the consumption of electricity could be decreased by as much as approximately 26% and save the Institute $250,000 a year in electrical costs.
by Lisa Maria Hopeman.
S.B.
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Wilke, Claas, Sebastian Richly, Christian Piechnick, Sebastian Götz, Georg Püschel, and Uwe Aßmann. "Comparing Mobile Applications' Energy Consumption." Technische Universität Dresden, 2012. https://tud.qucosa.de/id/qucosa%3A26364.

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As mobile devices are nowadays used regularly and everywhere, their energy consumption has become a central concern for their users. However, mobile applications often do not consider energy requirements and users have to install and try them to reveal information on their energy behavior. In this paper, we compare mobile applications from two domains and show that applications reveal different energy consumption while providing similar services. We define microbenchmarks for emailing and web browsing and evaluate applications from these domains. We show that non-functional features such as web page caching can but not have to have a positive influence on applications' energy consumption.
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Смоленніков, Денис Олегович, Денис Олегович Смоленников, and Denys Olehovych Smolennikov. "The problem of energy consumption." Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/8299.

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Nowadays the problem of energy consumption becomes extremely urgent in the whole world. As most of energy resources are nonrenewable. And energy consumption worldwide increases every year. Economic growth is one the most important factors to be considered in projecting changes in the world’s future energy consumption. Over the 2004 to 2030 period, world economic growth (real GDP) is projected to average 4.1 percent annually. Economic activity, as measured by gross domestic product (GDP) is expected to expand by 5.1 percent per year in developed countries, as compared with 2.5 percent per year in the mature market economies and 4.4 percent per year in the transitional economies of EE/FSU. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/8299
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Papparotto, Alessandro. "Lighting quality and energy consumption." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425046.

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Lighting quality assessment and energy consumption investigation about the relationship between lighting quality and energy conusmption. Standard and technological review. Investigation of 3 case studies and realization of one of the three.
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Afzalan, Milad. "Building Energy Profile Clustering Based on Energy Consumption Patterns." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99317.

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With the widespread adoption of smart meters in buildings, an unprecedented amount of high- resolution energy data is released, which provides opportunities to understand building consumption patterns. Accordingly, research efforts have employed data analytics and machine learning methods for the segmentation of consumers based on their load profiles, which help utilities and energy providers for customized/personalized targeting for energy programs. However, building energy segmentation methodologies may present oversimplified representations of load shapes, which do not properly capture the realistic energy consumption patterns, in terms of temporal shapes and magnitude. In this thesis, we introduce a clustering technique that is capable of preserving both temporal patterns and total consumption of load shapes from customers’ energy data. The proposed approach first overpopulates clusters as the initial stage to preserve the accuracy and merges the similar ones to reduce redundancy in the second stage by integrating time-series similarity techniques. For such a purpose, different time-series similarity measures based on Dynamic Time Warping (DTW) are employed. Furthermore, evaluations of different unsupervised clustering methods such as k-means, hierarchical clustering, fuzzy c-means, and self-organizing map were presented on building load shape portfolios, and their performance were quantitatively and qualitatively compared. The evaluation was carried out on real energy data of ~250 households. The comparative assessment (both qualitatively and quantitatively) demonstrated the applicability of the proposed approach compared to benchmark techniques for power time-series clustering of household load shapes. The contribution of this thesis is to: (1) present a comparative assessment of clustering techniques on household electricity load shapes and highlighting the inadequacy of conventional validation indices for choosing the cluster number and (2) propose a two-stage clustering approach to improve the representation of temporal patterns and magnitude of household load shapes.
M.S.
With the unprecedented amount of data collected by smart meters, we have opportunities to systematically analyze the energy consumption patterns of households. Specifically, through using data analytics methods, one could cluster a large number of energy patterns (collected on a daily basis) into a number of representative groups, which could reveal actionable patterns for electric utilities for energy planning. However, commonly used clustering approaches may not properly show the variation of energy patterns or energy volume of customers at a neighborhood scale. Therefore, in this thesis, we introduced a clustering approach to improve the cluster representation by preserving the temporal shapes and energy volume of daily profiles (i.e., the energy data of a household collected during 1 day). In the first part of the study, we evaluated several well-known clustering techniques and validation indices in the literature and showed that they do not necessarily work well for this domain-specific problem. As a result, in the second part, we introduced a two-stage clustering technique to extract the typical energy consumption patterns of households. Different visualization and quantified metrics are shown for the comparison and applicability of the methods. A case-study on several datasets comprising more than 250 households was considered for evaluation. The findings show that datasets with more than thousands of observations can be clustered into 10-50 groups through the introduced two-stage approach, while reasonably maintaining the energy patterns and energy volume of individual profiles.
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Arokiasamy, David Balachandar. "Energy Consumption Evaluation of LoRa Technology." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Lora is a wireless technology that has been developed to enable low data rate communications to be made over long distances especially for IoT applications. With growing Internet of things, Lora technology addresses the increasing demands on end devices for long range connectivity with low power battery consumption and also with low infrastructure cost to deploy. Lora utilizes a spread spectrum modulation and protocol in Sub-Ghz RF band to enable long range greater than 10 km with low power and high network capacity. In this thesis, I would like to give some comprehensive introduction about Lora specifications. As we know that Lora consumes low power to transmit the data packets given to the physical layer and the query is to know in which range of low power lies. This will be the outcome of my thesis with energy measurements for transmitting a data packet. This also includes different configurations of the devices.
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Ferdeen, Mats. "Reducing Energy Consumption Through Image Compression." Thesis, Linköpings universitet, Datorteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134335.

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The energy consumption to make the off-chip memory writing and readings are aknown problem. In the image processing field structure from motion simpler compressiontechniques could be used to save energy. A balance between the detected features suchas corners, edges, etc., and the degree of compression becomes a big issue to investigate.In this thesis a deeper study of this balance are performed. A number of more advancedcompression algorithms for processing of still images such as JPEG is used for comparisonwith a selected number of simpler compression algorithms. The simpler algorithms canbe divided into two categories: individual block-wise compression of each image andcompression with respect to all pixels in each image. In this study the image sequences arein grayscale and provided from an earlier study about rolling shutters. Synthetic data setsfrom a further study about optical flow is also included to see how reliable the other datasets are.
Energikonsumtionen för att skriva och läsa till off-chip minne är ett känt problem. Inombildbehandlingsområdet struktur från rörelse kan enklare kompressionstekniker användasför att spara energi. En avvägning mellan detekterade features såsom hörn, kanter, etc.och grad av kompression blir då en fråga att utreda. I detta examensarbete har en djuparestudie av denna avvägning utförts. Ett antal mer avancerade kompressionsalgoritmer förbearbetning av stillbilder som tex. JPEG används för jämförelse med ett antal utvaldaenklare kompressionsalgoritmer. De enklare algoritmerna kan delas in i två kategorier:individuell blockvis kompression av vardera bilden och kompression med hänsyn tillsamtliga pixlar i vardera bilden. I studien är bildsekvenserna i gråskala och tillhandahållnafrån en tidigare studie om rullande slutare. Syntetiska data set från ytterligare en studie om’optical flow’ ingår även för att se hur pass tillförlitliga de andra dataseten är.
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Sjökvist, Kristoffer. "Visualizing energy consumption in industrial environments." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93528.

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Based on the impressions given by information gathered within the frames of this project, there most definitely exists a need and interest for a product that increases the employees’ awareness of their company’s energy usage. Interactive Institute should consider the prerequisites satisfactory and follow through with their project in creating a product that fulfills this need. The chance to create a powerful, yet economically defendable, product is great considering that the product would include features not previously available to the market at an attractive price level. With limited manpower within the company together with a wish of turning this project into a marketable product, cooperating with Exido/eZE Systems would be the most fruitful solution. Using their Input/Output device and already ‐built communications system gives Interactive Institute the possibility to focus mainly on the Graphical User Interface/Web portal and the technical involvement would only need to cover signal handling from existing meters to the I/O box as well as integrating the Exido software system with the new customer web portal. This cooperation would also grant Interactive Institute an important head start compared to other manufacturers possibly in the beginning of launching similar projects. Thereby the chances of hitting the market with a unique product, before any competition exists, increase significantly. If involving an external part is not an option due to internal reasons, developing the meter from earlier projects further and replacing the previously used WLAN module with a LAN module (or possibly simply adding LAN capability) would be the second most efficient solution in terms of manpower efficiency and not making the product more expensive than necessary.
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Books on the topic "Energy consumption"

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Botswana. Department of Energy. Energy consumption in buildings. Gaborone]: Prepared for the Dept. of Energy, Ministry of Minerals, Energy and Water Resources by Botswana Technology Centre, 2004.

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Paksoy, Halime Ö., ed. Thermal Energy Storage for Sustainable Energy Consumption. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5290-3.

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Group, Primary Research. College electricity consumption benchmarks. New York?]: Primary Research Group, 2011.

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Office for Official Publications of the European Communities., ed. Energie 1960-1988 =: Energy 1960-1988. Luxembourg: Office des publications officielles des Communautés européennes, 1990.

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Herring, Horace, and Steve Sorrell, eds. Energy Efficiency and Sustainable Consumption. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230583108.

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Hohmeyer, Olav. Social Costs of Energy Consumption. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83499-8.

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Barbir, Frano, and Sergio Ulgiati, eds. Sustainable Energy Production and Consumption. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8494-2.

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Langheim, Jochen, ed. Energy Consumption and Autonomous Driving. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19818-7.

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Great Britain. Department of Education and Science. Architects and Building Group., ed. Energy consumption in educational buildings. London: DES, Architects and Building Branch, 1988.

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United States. Energy Information Administration., ed. Commercial buildings energy consumption survey. Washington, D.C: Energy Information Administration, U.S. Dept. of Energy, 1989.

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Book chapters on the topic "Energy consumption"

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Sato, Aki-Hiro. "Energy Consumption." In Applied Data-Centric Social Sciences, 259–72. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54974-1_9.

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Holler, Richard, and Matthew Chason. "Energy Consumption." In Encyclopedia of Evolutionary Psychological Science, 1–3. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-16999-6_356-1.

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Gregorio, Fernando, Gustavo González, Christian Schmidt, and Juan Cousseau. "Energy Consumption." In Signal Processing Techniques for Power Efficient Wireless Communication Systems, 41–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32437-7_3.

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Proske, Uwe, David L. Morgan, Tamara Hew-Butler, Kevin G. Keenan, Roger M. Enoka, Sebastian Sixt, Josef Niebauer, et al. "Energy Consumption." In Encyclopedia of Exercise Medicine in Health and Disease, 290. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_4173.

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Ramakrishnan, Ravi, and Loveleen Gaur. "Energy Consumption." In Internet of Things, 91–102. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429486593-6.

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Holler, Richard, and Matthew Chason. "Energy Consumption." In Encyclopedia of Evolutionary Psychological Science, 2342–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_356.

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Hilgers, Michael, and Wilfried Achenbach. "Vehicle and Energy Loss." In Fuel Consumption and Consumption Optimization, 5–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_2.

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Hilgers, Michael. "Vehicle and Energy Loss." In Fuel Consumption and Consumption Optimization, 7–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0_2.

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de Barros Correia, Tiago, Gabriel Moreira Pinto, and Vitor Hugo da Silva Oliveira. "Auction Design to Procure Energy Efficiency Measures as Distributed Energy Resources." In Sustainable Consumption, 409–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16985-5_23.

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Wei, Yi-Ming, and Hua Liao. "Residential Energy Consumption." In Energy Economics: Energy Efficiency in China, 119–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44631-8_4.

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Conference papers on the topic "Energy consumption"

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Zheng, Siyu, Yujia Zhang, Suyang Zhou, Qiang Ni, and Juan Zuo. "Comprehensive Energy Consumption Assessment Based on Industry Energy Consumption Structure Part I: Analysis of Energy Consumption in Key Industries." In 2022 IEEE 5th International Electrical and Energy Conference (CIEEC). IEEE, 2022. http://dx.doi.org/10.1109/cieec54735.2022.9845929.

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Schmid, S. R. "Energy consumption in manufacturing." In THE 4TH MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE (MESIC 2011). AIP, 2012. http://dx.doi.org/10.1063/1.4707591.

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Fronza, Ilenia, Nabil El Ioini, Luis Corral, Matthias Moroder, and Moritz Moroder. "Monitoring Multicopters Energy Consumption." In the 6th Annual Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3125649.3125657.

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Tucker, Rodney S. "Energy consumption in telecommunications." In 2012 IEEE Optical Interconnects Conference. IEEE, 2012. http://dx.doi.org/10.1109/oic.2012.6224478.

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Nourdine, Brahim, and Abdallah Saad. "Energy Consumption in Hospitals." In 2020 International Conference on Electrical and Information Technologies (ICEIT). IEEE, 2020. http://dx.doi.org/10.1109/iceit48248.2020.9113177.

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Camps, Frederic, and Jean Fanchon. "Web browser energy consumption." In 2010 8th International Conference on Communications (COMM). IEEE, 2010. http://dx.doi.org/10.1109/iccomm.2010.5509072.

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Galperova, Elena, and Olga Mazurova. "Digitalization and Energy Consumption." In Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/iwci-19.2019.10.

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Mishra, Bharatoday, and Rejo Mathew. "Smart Energy Power Consumption." In 2024 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2024. http://dx.doi.org/10.1109/esci59607.2024.10497284.

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Noureddine, Adel. "Analyzing Software Energy Consumption." In ICSE-Companion '24: 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3639478.3643058.

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Anikeeva, A. E. "Managing energy consumption parameters." In Modern Problems of Telecommunications - 2024. Siberian State University of Telecommunications and Information Systems, 2024. http://dx.doi.org/10.55648/spt-2024-1-110.

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This article discusses the features of the operation of electric power systems. The location of the power storage units in this system is indicated. The following is a classification of electric power storage devices and a hybrid system for controlling the parameters of electric power storage systems.
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Reports on the topic "Energy consumption"

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Author, Not Given. Household vehicles energy consumption, 1988. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/7154211.

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Llorca, Manuel, and Tooraj Jamasb. Rebound Effect in Energy Consumption. Copenhagen School of Energy Infrastructure, 2020. http://dx.doi.org/10.22439/csei.pb.002.

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Jimenez Mori, Raul Alberto, and Ariel Yépez-García. Composition and Sensitivity of Residential Energy Consumption. Inter-American Development Bank, August 2016. http://dx.doi.org/10.18235/0011757.

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Understanding how energy use evolves at different stages of development is essential for reliable prospective analysis and planning. With that aim in mind, this paper examines the composition of residential energy consumption and its sensitivity to income changes, distinguishing fuel types and accounting for complete heterogeneity of the income coefficient. The focus on domestic energy use allows for the examination of fuel transition under the conceptual framework of the energy ladder and energy portfolio hypotheses, showing the increasing need for modern fuels in the household sector. The results indicate a nonlinear relationship between income and domestic energy consumption that can be attributed to two factors. First, along the income distribution, consumption of modern fuels increases, replacing traditional and transitional fuels until modern fuels drive all of the growth in domestic energy demand. Second, at the highest income levels, income elasticity starts to decrease, leading to concavity in energy consumption. That is, the income elasticity of residential energy demand follows an inverse U-shape along the world income distribution. This finding suggests that at high income levels, residential energy consumption shows satiation and net savings effects, potentially implying that energy demand does not grow forever.
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Bolivar, Ángela, Juan Roberto Paredes, María Clara Ramos, Emma Näslund-Hadley, and Gustavo Wilches-Chaux. Intelligent Consumption. Inter-American Development Bank, December 2015. http://dx.doi.org/10.18235/0006301.

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Like all living things, humans are "open systems." We're part of - not separate from - our environment, and we continually exchange materials, energy and information with it. What happens when we eat a piece of fruit, for instance? First, we use our senses (taste, smell, sight, touch, hearing) to gather information (Is it ripe?). Then, the fruit's material compounds enter our bodies. As we digest the fruit and break down and absorb its nutrients, energy accumulated from photosynthesis is released. We use this energy to burn carbohydrates through a process called cellular respiration. Being open systems, we return byproducts of respiration - carbon dioxide (CO2) and water vapor (H2O) - back to the atmosphere; and we return some of the fruit¿s water and indigestible solid materials to the earth the form of liquid and solid waste.
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Szydlowski, R. F., and W. D. Jr Chvala. Energy consumption of personal computer workstations. Office of Scientific and Technical Information (OSTI), February 1994. http://dx.doi.org/10.2172/10134947.

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Flanagan, D. M., H. J. Tsao, R. L. Jr Schmoyer, and J. M. MacDonald. Nonresidential Building Energy Consumption Survey (NBECS). Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6393534.

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Author, Not Given. Household energy consumption and expenditures 1987. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/5127577.

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Yourtchenko, A., and L. Colitti. Reducing Energy Consumption of Router Advertisements. RFC Editor, February 2016. http://dx.doi.org/10.17487/rfc7772.

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Jerald Brevick, clark Mount-Campbell, and Carroll Mobley. Energy Consumption of Die Casting Operations. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/822409.

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Park, Won Young, Amol Phadke, Nihar Shah, and Virginie Letschert. TV Energy Consumption Trends and Energy-Efficiency Improvement Options. Office of Scientific and Technical Information (OSTI), July 2011. http://dx.doi.org/10.2172/1026814.

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