Relevant bibliographies by topics / Demand

Academic literature on the topic 'Demand'

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Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Demand"

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Lager, James M. "Governments demand compliance, ethics demands leadership." Journal of Public Affairs 10, no. 3 (May 26, 2010): 216–24. http://dx.doi.org/10.1002/pa.361.

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Baird, Sarah, Craig McIntosh, and Berk Özler. "The regressive demands of demand-driven development." Journal of Public Economics 106 (October 2013): 27–41. http://dx.doi.org/10.1016/j.jpubeco.2013.07.002.

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Janda, K., J. Mikolášek, and M. Netuka. "Complete almost ideal demand system approach to the Czech alcohol demand." Agricultural Economics (Zemědělská ekonomika) 56, No. 9 (September 21, 2010): 421–34. http://dx.doi.org/10.17221/117/2009-agricecon.

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Tax interventions into alcohol beverages market are an important and recently discussed tool of the Czech fiscal policy. The impact of any such measure would be strongly dependent on the microeconomic behavior of the consumers. The aim of this paper is to provide a reliable set of income, own-price, and cross-price elasticities of demand for the key alcohol beverages based on the Almost Ideal Demand System model applied on the most relevant Czech data set of the Household Budget Statistics.
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Vargas-Contreras, Eunice, Ana Lucía Jiménez-Pérez, Raúl Alejandro Gutiérrez-García, and Kalina Isela Martínez-Martínez. "The clinical psychologist and evidence-based practice in Mexico: Passing fad or pressing need?" Gaceta Médica de Caracas 129, s1 (May 12, 2021): 203–12. http://dx.doi.org/10.47307/gmc.2021.129.s1.23.

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Implementing Evidence-based practices entails a demand not only on the clinician and professional training but also a demand on the institutional economic, material, and human resources. Such demands can be either facilitator of the processor, in some cases, major barriers. La implementación de la Práctica con Base en la Evidencia implica una demanda no solo en la formación profesional y clínica, sino también en recursos institucionales económicos, materiales y humanos.
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Yang, Kyeong-Seung. "The Identity and Individuality of Demand, Jointed Demands." Justice 164 (February 28, 2018): 81–116. http://dx.doi.org/10.29305/tj.2018.02.164.81.

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Yamashita, Seigo, and Wynn R. Walker. "Command Area Water Demands. II: Water‐Demand Function." Journal of Irrigation and Drainage Engineering 120, no. 6 (November 1994): 1043–55. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:6(1043).

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Farm, Ante. "Labor demand and product demand." Journal of Post Keynesian Economics 43, no. 4 (July 31, 2020): 634–39. http://dx.doi.org/10.1080/01603477.2020.1794905.

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Hupková, D., P. Bielik, and N. Turčeková. "Structural changes in the beef meat demand in Slovakia and demand elasticity estimation." Agricultural Economics (Zemědělská ekonomika) 55, No. 8 (August 23, 2009): 361–67. http://dx.doi.org/10.17221/41/2009-agricecon.

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The article focuses on assessing the consumer habits attitudes and behaviour towards the beef meat demand. The main objective of this study is to investigate the determinants of the households’ beef meat consumption using the main economic factors. Determining and analysis of consumer behaviour on the individual household categories level and the subsequent comparison of impact factors on consumer decision will give us an assumption to the complex understanding of the consumer behaviour determinants. We used panel data to estimate the beef meat demand in Slovakia. The data were obtained from the Household Budget Survey of the Slovak Statistical Office. The estimates of price and income elasticities of the beef meat demand are also obtained. The results indicate that the food patterns development in Slovakia during the past two decades has undergone rapid structural changes. The declining beef meat consumption is influenced mainly by the decreasing purchasing power and the occurrence of the BSE disease. According to the elasticity estimation results, we can state that the beef meat demand is price and income inelastic. Key words: beef meat consumption, households’ consumption, price elasticity, income elasticity. BSE disease
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Kyonghee Han. "Who demands the Survey of Industry Demand?: Paradox of Demand-Based Engineering Education Under Catch-up Paradigm." Journal of Engineering Education Research 19, no. 4 (July 2016): 72–82. http://dx.doi.org/10.18108/jeer.2016.19.4.72.

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Jung, Koeun, Yoonki Min, and Suk Won Han. "Response of multiple demand network to visual search demands." NeuroImage 229 (April 2021): 117755. http://dx.doi.org/10.1016/j.neuroimage.2021.117755.

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Dissertations / Theses on the topic "Demand"

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Read, Jacqueline. "Interrelated factor demands and the industrial demand for energy." Thesis, University of Surrey, 1987. http://epubs.surrey.ac.uk/798034/.

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Rimjha, Mihir. "On Demand Mobility Cargo Demand Estimation." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85590.

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Recent developments in the shipping industry have opened some unprecedented trade opportunities on various levels. Be it individual consumption or business needs, the thought of receiving a package on the same day or within 4-hour from some other business or industry in the urban area is worth appreciating. The congestion on ground transportation modes is higher than ever. Since currently the same-day delivery in urban areas is carried mainly by ground modes, the catchment area of this delivery service is limited. The On-Demand Mobility for cargo can elevate the concept of express shipping in revolutionary ways. It will not only increase the catchment area thereby encompassing more business and consumers but will also expedite the delivery as these vehicles will fly over the ground traffic. The objective of this study was to estimate the total demand for ODM Cargo operations and study its effect on ODM passenger operations. The area of interest for this study was Northern California (17 counties). Annual cargo flows in the study area were rigorously analyzed through databases like Transearch, Freight Analysis Framework-4, and T-100 International for freight. The results of this study are presented through a parametric analysis of market share. The end product also includes the flight trajectories (with flight plan) of daily ODM cargo flights in the study region. The On-Demand Mobility cargo operations are expected to complement passenger On-Demand Mobility operations. Therefore, the effect of ODM cargo operations on the passenger ODM operations was also analyzed in this study. The major challenge faced in this study was the unavailability of datasets with the desired level of details and refinements. Since the movement of cargo is mostly done by private companies, the detailed records of shipments are often not public knowledge.
Master of Science
The recent advancements in shipping industry has made transfer of goods both domestic and international, swifter and more reliable. Nowadays, some business and consumers in urban areas have the options of few-hours or same day delivery. Currently the same-day delivery in urban areas is carried mainly by ground modes (trucks) and hence the catchment area of this delivery service is limited. Adding to it, the traffic congestion on the urban roads is a major hinderance in growth of such services. The On-Demand Mobility for cargo can reform express shipping in revolutionary ways. The concept vehicle can fly over the ground traffic. Therefore, it will increase the catchment area thereby encompassing more business and consumers, along with faster delivery options in currently serviced areas. For the study, we analyzed different databases for annual cargo flows in the region. Seventeen counties in the Northern California were chosen as the study area (or region). The study was focused on estimating the potential market (demand) for the On-Demand Mobility Cargo operations. Multiple set of results were calculated for different market shares that On-Demand Mobility can potentially capture in cargo operations. Flight trajectories (with flight plan) for daily ODM cargo flights were the final product. The On-Demand Mobility cargo operations are expected to complement passenger ODM operations. Therefore, the effect of ODM cargo operations on the passenger ODM operations was also analyzed in this study. The major challenge faced in this study was the unavailability of datasets with the desired level of details and refinements.
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Junior, Dércio Julio Terrabuio. "Análise da demanda por transporte coletivo em quatro cidades médias do Estado de São Paulo." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-17012011-112058/.

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No presente trabalho, é analisado o comportamento da demanda por transporte coletivo em quatro cidades de porte médio do interior do Estado de São Paulo (Araraquara, São Carlos, Jaú e São José do Rio Preto), visando a identificar os principais fatores que afetam o volume de passageiros, como: população, valor da tarifa, índice de motorização total e desagregada (automóveis e motocicletas), quantidade de empregos formais, produto interno bruto (PIB) per capita, etc. As análises efetuadas mostram que a demanda total por transporte coletivo urbano é influenciada principalmente pelas seguintes variáveis sócio-econômicas: população, índice de motorização e PIB per capita. Outros fatores que também influenciam são: tamanho da cidade, qualidade do transporte coletivo, cultura de utilização da bicicleta, etc.. São desenvolvidos dois modelos matemáticos simples, utilizando a técnica de regressão linear múltipla, que estabelecem relação entre a demanda por transporte coletivo e as principais variáveis sócio-econômicas que a afetam, como ferramenta para a previsão da demanda em diferentes cenários conformados pelas variáveis sócio-econômicas. Os resultados apresentados pelo modelo matemático que utiliza como índice de motorização, a relação entre a frota de veículos de duas rodas e a população refletem de maneira mais próxima a realidade que o modelo que utiliza a frota total. Este modelo é adequado para ser utilizado na previsão da demanda por transporte coletivo no universo das quatro cidades analisadas com erro máximo menor que 10%.
In this paper we analyzed the behavior of demand for public transportation in four mid-sized cities in the state of São Paulo (Araraquara, São Carlos, Jau and Sao Jose do Rio Preto), to identify key factors affecting the volume of passengers, such as population, amount of fare, motorization rate and total breakdown (automobiles and motorcycles), amount of formal employment, gross domestic product (GDP) per capita, etc. In general, the following conclusions can be inferred from the analysis performed: the total demand for transportation in a city depends mainly on the following parameters: population, motorization rate and GDP per capita. Other indirect factors such as quality public transport, culture, use of transport, etc. They also developed two simple mathematical models using multiple linear regression technique with the objective of establishing relations between the demand for public transportation and the following key social-economic variables that were identified as those that most influence the demand: population, motorization rate and GDP per capita, which is useful for predicting the demand for public transport in different scenarios conformed by social-economic variables. The results presented by the mathematical model show that uses such as motorization rate, the relation between the fleet of two-wheeled vehicles and the population, more closely reflect the reality that the model uses the total fleet. The model uses the rate of motorization in considering two vehicles suitable for use in forecasting demand for public transportation in the universe of the four cities analyzed maximum error <10%.
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Syed, Nida Umme-Saleem. "On Demand Mobility Commuter Aircraft Demand Estimation." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78879.

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On-Demand Mobility (ODM) is a concept to address congestion problems. Using electric aircraft and vertical take-off with limited landing (VTOL) capabilities, the ODM concept offers on demand transportation service between designated landing sites at a fraction of driving time. The purpose of this research is to estimate the potential ODM demand and understand the challenges of introducing ODM using the Northern California region (including major cities like San Francisco, Sacramento, and San Jose) as an area of study and a second, less rigorous analysis for the Washington-Baltimore region. A conditional logit model was developed to estimate mode choice behavior and to estimate ODM demand; presenting automobile and public transportation as the two competing modes to ODM. There are significant challenges associated with the service including ability to operate in bad weather, vehicle operating cost, siting and cost of landing sites, and overall public acceptance of small, remotely operated aircraft. Nine scenarios were run varying the input for a base fare, landing fare, cost per-passenger-mile, auto operational costs, and ingress (waiting) times. The results yielded sensitivity of demand to all these parameters and especially showed a great difference in demand when auto costs were decreased from the standard American Automobile Association (AAA) cost per mile to a likely, future auto operating cost. The challenge that aerospace engineers face is designing an aircraft capable of achieving lower operational costs. The results showed that in order for the ODM to be a competitive mode, the cost per passenger-mile should be kept at $1.
Master of Science
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Algestam, Sara, and Ertuğrul Kılıçaslan. "Fulfilling customer demand Customer requirements and demands on e-commerce." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20264.

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This thesis has been carried out during second semester 2010 at University College of Borås in Collaboration with Halens AB. Halens Holding AB is one of Sweden’s leading e-commerce companies. The company contains of four subsidiaries which together create Halens Holding AB. The concern includes Halens AB, Cellbes AB, Time Finans AB and New Bubbleroom Sweden AB. The main office of Halens Holding AB is located in Borås, the company has a turnover of 1.1 billion SEK and employs 300 people. Halens Holding AB has a wide range of products; fashion, home textile, furniture’s, home electronics and beauty- and health products. Halens has recently expanded their market, and now have Swedish, Norwegian, Finnish, Danish, Estonian, Latvian, Czech, Polish, Slovakian, Russian, Swiss, Slovenian and Turkish customers.The purpose of this thesis was to investigate customer requirements and demands on e-commerce. Furthermore, the intention was also to compare customers from the different subsidiaries. The purpose could be concluded with following three bullets;Identify customer demand on; product, lead-time, service and cost. Investigate differences in customer demand at two of the subsidiaries; Halens and Cellbes. Determine different consequences to the identified customer demand; purchase, non-purchase, purchase followed by return, uncollected package. A survey was made in order to find real time information about customer behavior. The objective of the survey was to understand customers’ demands of e-commerce in general. The next step was to investigate if Halens and Cellbes fulfilled those requirements. Moreover, observations were made in order to capture the customers’ use of the web-pages. These observations provided a deeper insight of the customer requirements and demands. With survey answers and observations as a base, different customer segments could be spotted. Furthermore, the task was to find problem areas or errors from the customers’ point of view in order to improve the system. Suggested areas for improvement were presented in order to get a better match between customer demand and customer experience. During this project, a clear view of the demand and requirements of Halens and Cellbes customers has been obtained. There were not major difference between the two subsidiaries, to the contrary; the results showed that there were very similar. It can be concluded that Halens and Cellbes can improve their businesses with smaller changes. Several proposals for improvement have been developed in order to better fulfill customer demand.
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Tan, Peng Kuan. "Demand management : a cross-industry analysis of supply-demand planning." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36139.

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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.
Includes bibliographical references (leaves 73-75).
Globalization increases product variety and shortens product life cycles. These lead to an increase in demand uncertainty and variability. Outsourcing to low-cost countries increases supply lead-time and supply uncertainty and variability. Coupled with the increase of mergers and acquisitions, which increase supply chain complexity, and the unforgiving nature of having too little or too much inventory, these factors have accelerated the importance and adoption of the Sales and Operations Planning (S&OP) process. S&OP is driven by a cross functional team, with the purpose of balancing supply and demand with the objective of maximizing a company's goals. It manages the supply and demand uncertainties, balances the different internal and external stakeholders' interests, and aligns the operations towards its strategy and vision. In support of the Supply Chain 2020 Project at MIT, this thesis focuses on analyzing the S&OP function across industries. Using the Phase I SC 2020 theses, literature, white papers, and interviews with industry experts, this thesis compares and contrasts the S&OP practices across nine industries.
(cont.) It examines their best practices and underlying principles, as well as the macro factors that have shaped the practices for the last ten to fifteen years, as well as what is expected in the future. Companies with the "best" S&OP processes collaborate internally to balance sales and operations, and align all internal stakeholders' interests. Furthermore, they collaborate externally with suppliers and customers to reduce supply and demand uncertainties. They also understand and manage demand and supply uncertainties, and align their effort towards their goals. These companies synchronize operations and are agile to changing environments.
by Peng Kuan Tan.
M.Eng.in Logistics
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Gonçalves, Paulo de Magalhães Bento. "Modelos para previsão de demanda por transporte de grãos: verificação, avaliação e análise comparativa." Universidade de São Paulo, 1996. http://www.teses.usp.br/teses/disponiveis/18/18137/tde-13042018-162742/.

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Neste trabalho realiza-se uma análise individual e comparativa de três modelos de demanda por transporte de grãos: de Oferta, de Incorporação de área e aumento de produtividade, e da Rede Ferroviária Federal S/A. O estudo foi desenvolvido com base num conjunto de dados coletados no Estado de Mato Grosso do Sul. Esse conjunto contém dados referentes ao período de 1974 a 1994, e foi dividido em duas partes: a primeira, de 1974 a 1988, usada na calibração dos modelos, e a segunda, de 1989 a 1994, na verificação de desempenho dos modelos. A produção estimada para o segundo período foi comparada com a produção observada no mesmo período. A precisão dos modelos foi verificada para curto e longo prazos, e para dois níveis de agregação. Concluiu-se que tanto o modelo de Oferta como o modelo da RFFSA são apropriados para a previsão de curto prazo. E que o modelo de Oferta é melhor do que o de Incorporação de área e aumento de produtividade para a projeção de produção em nível agregado, e vice-versa.
This work carries out an individual and comparative analysis o f three grain transportation demand models: Supply model, Area and Productivity model and RFFSA (Federal Railway) model. The study was developed based on the data set collected in the State of Mato Grosso do Sul. This set contains data related to the period trom 1974 to 1994. It was divided into two periods, the first from 1974 to 1988, used to calibrate the models, and the second, from 1989 to 1994, used to verify the performance of the models. The production estimated for second period was compared to the observed production. The accuracy of the models was verified for short and long terms, and for two levels of aggregation. lt was concluded that both Supply and RFFSA models are appropriate to the short term forecasting, and that the Area and Productivity model may be used for the long term. It was also concluded that the Supply model is better than Area and Productivity model for estimating production at the aggregate level, and vice-versa.
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Lee, Seewhy Richard. "Space on demand." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B3198714X.

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Lee, Seewhy Richard, and 李思維. "Space on demand." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B3198714X.

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Caserta, Kimberly. "Luxury Good Demand." Thesis, Boston College, 2008. http://hdl.handle.net/2345/572.

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Thesis advisor: Robert Murphy
Luxury Good Consumer Trends and Advertising Spending Outcomes on the Economy This paper will explore how consumer trends in luxury goods affect the overall economy of the United States and vice versa. In economics, a luxury good is a good for which demand increases more than proportionally as income rises. Luxury goods are said to have high income elasticity of demand. In other words, as people become wealthier, they will buy more and more of the luxury good. Luxury goods are highly sensitive to economic upturns and downturns; therefore, the state of the economy will often shape consumer spending on luxury goods. However, consumer trends often fuel the economy as well. The demand for luxury goods creates jobs in manufacturing, advertising, event planning and many other areas of specialty that can contribute to a rise in GDP. An increase in exports due to a demand for American luxury goods would have a similar effect. The goal will be to discover any patterns in the data and perhaps to formulate an economic model that will expose the relationship between consumer trends in luxury goods and their effect on the economy
Thesis (BA) — Boston College, 2008
Submitted to: Boston College. College of Arts and Sciences
Discipline: Economics
Discipline: College Honors Program
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Books on the topic "Demand"

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Demand, Thomas. Thomas Demand. London: Tate Gallery, 1999.

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Milanato, Damiano. Demand Planning. Milano: Springer Milan, 2008. http://dx.doi.org/10.1007/978-88-470-0822-9.

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Stevens, Paul, ed. Energy Demand. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09279-6.

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Hidalgo, Carlos. Driving Demand. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137526809.

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1964-, Demand Thomas, Colomina Beatriz, Kluge Alexander 1932-, and Serpentine Gallery, eds. Thomas Demand. London: Serpentine Gallery, 2006.

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1964-, Demand Thomas, Bonami Francesco, Quintin François, Durand Régis, Chandès Hervé 1957-, and Fondation Cartier, eds. Thomas Demand. London: Thames & Hudson, 2000.

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Demand, Thomas. Thomas Demand. München: Schirmer/Mosel, 2006.

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Hamermesh, Daniel S. Labor demand. Princton, N.J: Princeton University Press, 1993.

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Demand, Thomas. Thomas Demand. Arles: Actes Sud, 2000.

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Demand, Thomas. Thomas Demand. Zurich: Kunsthalle Zurich, 1998.

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Book chapters on the topic "Demand"

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Rinkinen, Jenny, Elizabeth Shove, and Greg Marsden. "Demand." In Conceptualising Demand, 84–92. Abingdon, Oxon ; New York, NY : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003029113-6.

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Saul, S. B. "Demand." In The Myth of the Great Depression, 1873–1896, 25–27. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-08316-9_6.

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Reisman, David. "Demand." In The Economics of Alfred Marshall, 3–43. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-08515-6_2.

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Simola, Nicola, Micaela Morelli, Tooru Mizuno, Suzanne H. Mitchell, Harriet de Wit, H. Valerie Curran, Celia J. A. Morgan, et al. "Demand." In Encyclopedia of Psychopharmacology, 383. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_489.

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Ručinská, Silvia, Ronny Müller, and Jannik A. Nauerth. "Demand." In Encyclopedia of Law and Economics, 541–44. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7753-2_139.

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Ručinská, Silvia, Ronny Müller, and Jannik A. Nauerth. "Demand." In Encyclopedia of Law and Economics, 1–4. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-7883-6_139-1.

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Harvey, Jack. "Demand." In Mastering Economics, 48–55. London: Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-13504-2_4.

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Grant, Sue, and Richard Young. "Demand." In Economics a Level, 12–20. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13606-3_2.

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Otani, Yoshihiko, and Mohamed El-Hodiri. "Demand." In Microeconomic Theory, 18–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72791-7_2.

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Young, R., and S. Grant. "Demand." In Work Out Economics ‘A’ Level, 20–33. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10010-1_3.

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Conference papers on the topic "Demand"

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Zimmerman, Mike. "The industry demands better demand response." In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 2012. http://dx.doi.org/10.1109/isgt.2012.6175672.

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Garrow, Laurie A., Mohammad Ilbeigi, and Ziran Chen. "Forecasting Demand for On Demand Mobility." In 17th AIAA Aviation Technology, Integration, and Operations Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3280.

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Elkasrawy, Ayman, and Bala Venkatesh. "Demand Response Cooperative and Demand Charge." In 2021 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2021. http://dx.doi.org/10.1109/pesgm46819.2021.9638017.

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Su, Xinxia, Zhijie Wang, Yizhi Ye, Lijuan Chen, and Zeyang Pei. "Power Demand Side Management And Demand Response." In 2015 International Industrial Informatics and Computer Engineering Conference. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.424.

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Chen, Hu, and Hua He. "Reverse Logistics Demand Forecasting under Demand Uncertainty." In International Conference of Logistics Engineering and Management (ICLEM) 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41139(387)49.

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Liu, Zixu, Xiaojun Zeng, and Zhi-Le Yang. "Demand Based Bidding Strategies Under Interval Demand for Integrated Demand and Supply Management." In 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018. http://dx.doi.org/10.1109/cec.2018.8477941.

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Bannister, Rose, Jeanne Paulette Bickford, and Karl Swanke. "Demand smoothing." In 2013 24th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/asmc.2013.6552774.

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Yu, Nanpeng, Tianshu Wei, and Qi Zhu. "From passive demand response to proactive demand participation." In 2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015. http://dx.doi.org/10.1109/coase.2015.7294278.

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Hyung-Geun Kwag and Jin-O Kim. "Modeling demand resources for ISO's demand response scheduling." In 2011 IEEE PES PowerTech - Trondheim. IEEE, 2011. http://dx.doi.org/10.1109/ptc.2011.6019218.

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Ali, Reem Y., Emre Eftelioglu, Shashi Shekhar, Shounak Athavale, and Eric Marsman. "Supply-demand ratio and on-demand spatial service brokers." In the 9th ACM SIGSPATIAL International Workshop. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/3003965.3003974.

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Reports on the topic "Demand"

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Attanasio, Orazio. Consumption Demand. Cambridge, MA: National Bureau of Economic Research, March 1998. http://dx.doi.org/10.3386/w6466.

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Mian, Atif, Ludwig Straub, and Amir Sufi. Indebted Demand. Cambridge, MA: National Bureau of Economic Research, April 2020. http://dx.doi.org/10.3386/w26940.

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Stotts, Austin. Demand Response. Ames (Iowa): Iowa State University, August 2022. http://dx.doi.org/10.31274/cc-20240624-499.

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Yu, Wusheng, Thomas Hertel, Paul Preckel, and James Eales. Projecting World Food Demand Using Alternative Demand Systems. GTAP Working Paper, February 2003. http://dx.doi.org/10.21642/gtap.wp21.

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Computable General Equilibrium (CGE) models are increasingly being used to project world food markets in order to support forward-looking policy analysis. Such projections hinge critically on the underlying functional form for representing consumer demand. Simple functional forms can lead to unrealistic projections by failing to capture changes in income elasticities of demand. We adopt as our benchmark the recently introduced AIDADS demand system and compare it with several alternative demand systems currently in widespread use in CGE models. This comparison is conducted in the context of projections for disaggregated global food demand using a global CGE model. We find that AIDADS represents a substantial improvement, particularly for the rapidly growing developing countries. For these economies, the most widely used demand systems tend to over-predict future food demands, and hence overestimate future production and import requirements for agricultural products.
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Nandy, Paulomi, Alex Botts, Thomas Wenning, and Eli Levine. Demand Response in Industrial Facilities: Peak Electric Demand. Office of Scientific and Technical Information (OSTI), February 2022. http://dx.doi.org/10.2172/1842610.

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Nandy, Paulomi, Alex Botts, and Thomas Wenning. Demand Response in Industrial Facilities: Peak Electric Demand. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1973353.

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Roley, V. Vance. Money Demand Predictability. Cambridge, MA: National Bureau of Economic Research, March 1985. http://dx.doi.org/10.3386/w1580.

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Rogers, Howard. Asian LNG Demand. Oxford Institute for Energy Studies, April 2016. http://dx.doi.org/10.26889/9781784670559.

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Coavas Blanquicet, Sami Gabriel, and Celene Romero Haddad. Theory of demand. Ediciones Universidad Cooperativa de Colombia, March 2023. http://dx.doi.org/10.16925/gcnc.51.

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Due to its simplicity, this lecture note is intended to be a source of introductory reference for students of the faculty of administrative, accounting and related sciences on one of the elements that make up the markets: the demand. It shows the definitions and types of demand, the law of demand, graphic and mathematical analysis. This is done through simple examples that link the theoretical-practical and its impact on markets. The theory of demand serves as a fundamental pillar in the field of Economics, aiming to comprehend and predict consumer behavior patterns. This document introduces into the intricacies of demand theory, shedding light on its key components and the factors that influence consumer preferences and choices.
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Shen, Bo, Girish Ghatikar, Chun Chun Ni, Junqiao Dudley, Phil Martin, and Greg Wikler. Addressing Energy Demand through Demand Response. International Experiences and Practices. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1212423.

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