Academic literature on the topic 'Residential Energy Consumption'

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Journal articles on the topic "Residential Energy Consumption"

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Gholami, Roya, Rohit Nishant, and Ali Emrouznejad. "Modeling Residential Energy Consumption." Journal of Global Information Management 29, no. 2 (2021): 166–93. http://dx.doi.org/10.4018/jgim.2021030109.

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Smart meters that allow information to flow between users and utility service providers are expected to foster intelligent energy consumption. Previous studies focusing on demand-side management have been predominantly restricted to factors that utilities can manage and manipulate, but have ignored factors specific to residential characteristics. They also often presume that households consume similar amounts of energy and electricity. To fill these gaps in literature, the authors investigate two research questions: (RQ1) Does a data mining approach outperform traditional statistical approache
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Wahlström, Marie H., and Björn Hårsman. "Residential energy consumption and conservation." Energy and Buildings 102 (September 2015): 58–66. http://dx.doi.org/10.1016/j.enbuild.2015.05.008.

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Yoo, Seung-Hoon, and Seung-Ryul Lee. "The Economic Value of Residential Electricity Consumption in Seoul." Journal of Energy Engineering 21, no. 1 (2012): 81–85. http://dx.doi.org/10.5855/energy.2012.21.1.081.

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Bouktif, Salah. "MONITORING SYSTEM FOR RESIDENTIAL ENERGY CONSUMPTION." International Journal of New Computer Architectures and their Applications 5, no. 4 (2015): 156–64. http://dx.doi.org/10.17781/p001983.

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Abreu, Pedro Henriques, Daniel Castro Silva, Hugo Amaro, and Rui Magalhães. "Identification of Residential Energy Consumption Behaviors." Journal of Energy Engineering 142, no. 4 (2016): 04016005. http://dx.doi.org/10.1061/(asce)ey.1943-7897.0000340.

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Potter, M. C. "Mass effects in residential energy consumption." International Journal of Energy Research 13, no. 4 (1989): 499–502. http://dx.doi.org/10.1002/er.4440130412.

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Yust, B. L., D. A. Guerin, and J. G. Coopet. "Residential Energy Consumption: 1987 to 1997." Family and Consumer Sciences Research Journal 30, no. 3 (2002): 323–49. http://dx.doi.org/10.1177/1077727x02030003001.

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Bao, Helen X. H., and Steven Haotong Li. "Housing wealth and residential energy consumption." Energy Policy 143 (August 2020): 111581. http://dx.doi.org/10.1016/j.enpol.2020.111581.

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Pablo-Romero, María del P., Rafael Pozo-Barajas, and Rocío Yñiguez. "Global changes in residential energy consumption." Energy Policy 101 (February 2017): 342–52. http://dx.doi.org/10.1016/j.enpol.2016.10.032.

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Wang, Qing Feng, Yan Li Wang, De Ying Li, and Wei Na. "Research on Energy Consumption Tread of Residential Building in Beijing Based on Energy Audit." Applied Mechanics and Materials 174-177 (May 2012): 2057–60. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.2057.

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Beijing building energy efficiency work has been carried out for 20 years, which played a significant role in building energy saving. Based on the energy audit which is site test and statistics of building energy consumption analyses the energy consumption of residential building in Beijing. Discusses the residential building energy consumption characteristics and gives the energy consumption tread of residential building in Beijing. The results show that Beijing's residential building energy consumption per unit area is reduced year by year, which is mainly related with the implementation of
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Dissertations / Theses on the topic "Residential Energy Consumption"

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Balthazar, Edward John. "Residential building energy consumption and loss reduction methods." [Huntington, WV : Marshall University Libraries], 2008. http://www.marshall.edu/etd/descript.asp?ref=864.

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Thesis (M.S.)--Marshall University, 2008.<br>Title from document title page. Includes abstract. Document formatted into pages: contains ix, 94 p. : ill. Includes bibliographical references (p. 90-91).
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Wong, Chun-hung Samuel. "Opportunities for building energy conservation in Hong Kong (residential buildings) /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1873439X.

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Pereira-de-Araujo, Joao Lucas. "Promoting residential energy conservation throught real-time consumption feedback." The Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=osu1164833138.

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Pereira, de Araujo Joao Lucas. "Promoting residential energy conservation through real-time consumption feedback /." Connect to resource, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1164833138.

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Carlson, Derrick R. "Analyzing Residential End-Use Energy Consumption Data to Inform Residential Consumer Decisions and Enable Energy Efficiency Improvements." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/298.

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While renewable energy is in the process of maturing, energy efficiency improvements may provide an opportunity to reduce energy consumption and consequent greenhouse gas emissions to bridge the gap between current emissions and the reductions necessary to prevent serious effects of climate change and will continue to be an integral part of greenhouse gas emissions policy moving forward. Residential energy is a largely untapped source of energy reductions as consumers, who wish to reduce energy consumption for monetary, environmental, and other reasons, face barriers. One such barrier is a lac
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Marschalek, James. "Tools & techniques for reduced energy consumption with residential energy system example application." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1464367.

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Cataldi, Francesco. "Management Optimization of Energy Consumption Reduction for Residential Hot Water." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2995.

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The objective of this thesis is to create an automatic water management system capable of optimizing the usage of warm water stored in two water tanks to reduce the monthly energy consumption of the instant water heater installed in a residential house. This system is called Water Mixing System (WMS). The two heat sources considered are: PV-T system and heat rejected by the air condition system. The PV-T system is a new technology that allows transformation of the sun radiation into both electricity and warm water, increasing the efficiency of the panel compared to either a common photovoltaic
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Al, Tarhuni Badr. "Predicting Residential Heating Energy Consumption and Savings Using Neural Network Approach." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1556711496649669.

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Yao, Enxin. "Optimization of energy consumption schedule of residential loads and electric vehicles." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58302.

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In the current electrical grid, utility companies have begun to use demand side management (DSM) programs and time-of-use (TOU) pricing schemes to shape the residential load profile. However, it is difficult for the residential users to respond to the pricing signal and manually manage the operation of various household appliances. Hence, the autonomous energy consumption scheduling of residential loads and electric vehicles (EVs) is necessary for the users to benefit from the DSM programs. In this thesis, we propose different algorithms to schedule the energy consumption of residential loads
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Al-Naimi, Ibrahim Mubarak. "The potential for energy conservation in residential buildings in Dammam Region, Saudi Arabia." Thesis, University of Newcastle Upon Tyne, 1989. http://hdl.handle.net/10443/316.

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The rapid housing and building development in the Dammam region of Saudi Arabia has transformed the region into a progressive urban area. The contemporary buildings which have spread all over the region in a short period have failed to provide acceptable comfort conditions inside the house, leading to the widespread use of mechanical cooling systems. The combination of poor thermal design and the rise in electricity prices has resulted in high annual fuel bills for running the air conditioning systems. This study investigates the potential for energy conservation in residential buildings in Da
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Books on the topic "Residential Energy Consumption"

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Rennings, Klaus, Bettina Brohmann, Julia Nentwich, Joachim Schleich, Thure Traber, and Rolf Wüstenhagen, eds. Sustainable Energy Consumption in Residential Buildings. Physica-Verlag HD, 2013. http://dx.doi.org/10.1007/978-3-7908-2849-8.

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Administration, United States Energy Information. A look at residential energy consumption in 1997. U.S. Department of Energy, Energy Information Administration, 1999.

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Sebold, F. D. Residential end-use energy consumption: A survey of conditional demand estimates. The Institute, 1989.

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Zogg, Robert A. Electricity consumption by small end uses in residential buildings. Arthur D. Little, 1998.

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Nadel, Steven. A review of U.S. and Canadian lighting programs for the residential, commercial, and industrial sectors. American Council for an Energy-Efficient Economy, 1992.

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Holub, Ed. Residential and commercial energy demand models: Review and agenda for improvement. Oak Ridge National Laboratory, 1985.

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Cooper, Ken. Residential HVAC controller measurement input analysis: Final report. CANMET Energy Technology Centre, 1999.

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Baylon, David. Baseline characteristics of the non-residential sector: Idaho, Montana, Oregon and Washington. The Alliance, 2001.

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Baylon, David. Baseline characteristics of the residential sector: Idaho, Montana, Oregon and Washington. The Alliance, 2001.

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Wetzel, Bruce M. Energy-related attitude/belief variables in conventional econometric equations: An empirical approach applied to residential energy consumption. Rand, 1988.

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Book chapters on the topic "Residential Energy Consumption"

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

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Smeureanu, Ion, Francesco Moresino, Marian Dardala, Adriana Reveiu, and Felix Furtuna. "Optimizing Residential Energy Consumption in Romania." In 2nd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2014). Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16901-9_38.

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Wu, Shimei. "Methods for Estimating Residential Energy Consumption." In Household Energy Consumption in China: 2016 Report. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_3.

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Hu, Jingqiu, Shimei Wu, and De Bi. "Analysis and Comparison of Residential Energy Consumption." In Household Energy Consumption in China: 2016 Report. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_4.

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Zhao, Yutong, and Dan Wang. "International Comparison of Residential Energy Consumption Surveys." In Household Energy Consumption in China: 2016 Report. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_5.

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Song, Feng, and Jieqi Wu. "Study of Residential Demand-Side Management." In Household Energy Consumption in China: 2016 Report. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_10.

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Yoshino, Hiroshi, and Qingyuan Zhang. "Energy Consumption of Residential Buildings in China." In Sustainable Houses and Living in the Hot-Humid Climates of Asia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8465-2_35.

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Brown, Marilyn A. "The Urban Geography of Residential Energy Consumption." In The GeoJournal Library. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5416-8_16.

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Razak, Muhammad Aiman, Fitri Yakub, Nur Najwa Izzati Sulaiman, et al. "Energy Consumption Clustering Analysis in Residential Building." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9539-0_42.

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Hiteva, Ralitsa, Matthew Ives, Margot Weijnen, and Igor Nikolic. "A Complementary Understanding of Residential Energy Demand, Consumption and Services." In Advancing Energy Policy. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99097-2_8.

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Conference papers on the topic "Residential Energy Consumption"

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Zhang, Xiaoou Monica, Katarina Grolinger, Miriam A. M. Capretz, and Luke Seewald. "Forecasting Residential Energy Consumption: Single Household Perspective." In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2018. http://dx.doi.org/10.1109/icmla.2018.00024.

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Akshay Uttama Nambi, S. N., Thanasis G. Papaioannou, Dipanjan Chakraborty, and Karl Aberer. "Sustainable energy consumption monitoring in residential settings." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6567134.

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Akshay Uttama Nambi, S. N., Thanasis G. Papaioannou, Dipanjan Chakraborty, and Karl Aberer. "Sustainable energy consumption monitoring in residential settings." In 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2013. http://dx.doi.org/10.1109/infcomw.2013.6562866.

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Muhammad Mehar, Arshad, Asif Qumer Gill, and Kenan Matawie. "Analytical Model for Residential Predicting Energy Consumption." In 2018 IEEE 20th Conference on Business Informatics (CBI). IEEE, 2018. http://dx.doi.org/10.1109/cbi.2018.10049.

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Hlavacs, Helmut, Georges Da Costa, and Jean-Marc Pierson. "Energy Consumption of Residential and Professional Switches." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.244.

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Sial, Ankur, Abhishek Jain, Amarjeet Singh, and Aniket Mahanti. "Profiling Energy Consumption in a Residential Campus." In the 2014 CoNEXT. ACM Press, 2014. http://dx.doi.org/10.1145/2680821.2680827.

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Slini, Theodora, Efrosini Giama, and Agis M. Papadopoulos. "On the elasticity of residential energy consumption." In 2014 5th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 2014. http://dx.doi.org/10.1109/iisa.2014.6878821.

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Venizelou, Venizelos, George Makrides, Venizelos Efthymiou, and George E. Georghiou. "Residential consumption responsiveness under time-varying pricing." In 2018 IEEE International Energy Conference (ENERGYCON). IEEE, 2018. http://dx.doi.org/10.1109/energycon.2018.8398735.

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Sadeghianpourhamami, Nasrin, Dries F. Benoit, Dirk Deschrijver, and Chris Develder. "Modeling Real-World Flexibility of Residential Power Consumption." In e-Energy '18: The Ninth International Conference on Future Energy Systems. ACM, 2018. http://dx.doi.org/10.1145/3208903.3212041.

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Greene, Martin, and Jin-Lee Kim. "Prediction Model of California Residential Buildings' Energy Consumption." In International Conference on Sustainable Design, Engineering, and Construction 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412688.007.

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Reports on the topic "Residential Energy Consumption"

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Jiménez, Raúl, and Ariel Yépez-García. Composition and Sensitivity of Residential Energy Consumption. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0000504.

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Author, Not Given. Housing characteristics, 1987: Residential Energy Consumption Survey. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6112183.

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Poyer, D. A. Residential energy consumption: An analysis-of-variance study. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5757461.

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Poyer, D. A. Residential energy consumption: An analysis-of-variance study. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10132294.

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Clark, Y. Y., and W. Vincent. An analysis of residential energy consumption in a temperate climate. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5055235.

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Clark, Y., and W. Vincent. An analysis of residential energy consumption in a temperate climate. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5106475.

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Harter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan, and Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.

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The 2015 Residential Energy Consumption Survey design called for stratification of primary sampling units to improve estimation. Two methods of defining strata from multiple stratification variables were proposed, leading to this investigation. All stratification methods use stratification variables available for the entire frame. We reviewed textbook guidance on the general principles and desirable properties of stratification variables and the assumptions on which the two methods were based. Using principal components combined with cluster analysis on the stratification variables to define s
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Lutz, James, Camilla Dunham-Whitehead, Alex Lekov, and James McMahon. Modeling energy consumption of residential furnaces and boilers in U.S. homes. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/829987.

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Apte, Joshua, and Dariush Arasteh. Window-Related Energy Consumption in the US Residential andCommercial Building Stock. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/928762.

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Tawil, J. J. Statistical evaluation of Pacific Northwest Residential Energy Consumption Survey weather data. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/6216833.

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