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The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector

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Cited by:

  1. Runa Nesbakken, 1998. "Residential Energy Consumption for Space Heating in Norwegian Households A Discrete-Continuous Choice Approach," Discussion Papers 231, Statistics Norway, Research Department.
  2. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
  3. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
  4. McLoughlin, Fintan & Duffy, Aidan & Conlon, Michael, 2015. "A clustering approach to domestic electricity load profile characterisation using smart metering data," Applied Energy, Elsevier, vol. 141(C), pages 190-199.
  5. Bente Halvorsen & Bodil M. Larsen, 1999. "Changes in the Pattern of Household Electricity Demand over Time," Discussion Papers 255, Statistics Norway, Research Department.
  6. Al-Ghandoor, A. & Jaber, J.O. & Al-Hinti, I. & Mansour, I.M., 2009. "Residential past and future energy consumption: Potential savings and environmental impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1262-1274, August.
  7. Simona Bigerna and Carlo Andrea Bollino, 2014. "Electricity Demand in Wholesale Italian Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
  8. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
  9. Dorothée Charlier & Bérangère Legendre, 2016. "Fuel Poverty: A Composite Index Approach," Policy Papers 2016.06, FAERE - French Association of Environmental and Resource Economists.
  10. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Proceedings of International Academic Conferences 3105452, International Institute of Social and Economic Sciences.
  11. Carter, Adrian & Craigwell, Roland & Moore, Winston, 2012. "Price reform and household demand for electricity," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 242-252.
  12. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
  13. Spandagos, Constantine & Ng, Tze Ling, 2018. "Fuzzy model of residential energy decision-making considering behavioral economic concepts," Applied Energy, Elsevier, vol. 213(C), pages 611-625.
  14. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, vol. 5(11), pages 1-20, November.
  15. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
  16. Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
  17. Kim, Jee Young & Oh, Hyungna & Choi, Kyung-Mee, 2019. "Why Are Peak Loads Observed during Winter Months in Korea?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 41(1), pages 43-58.
  18. Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  19. Onuma, Hiroki & Matsumoto, Shigeru & Arimura, Toshi H., 2020. "How much household electricity consumption is actually saved by replacement with Light-Emitting Diodes (LEDs)?," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 224-238.
  20. Pizer, William & Newell, Richard, 2005. "Carbon Mitigation Costs for the Commercial Sector: Discrete-Continuous Choice Analysis of Multifuel Energy Demand," RFF Working Paper Series dp-05-13, Resources for the Future.
  21. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2017. "Heterogeneity in residential electricity consumption: A quantile regression approach," Ruhr Economic Papers 722, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  22. Boogen, Nina & Datta, Souvik & Filippini, Massimo, 2021. "Estimating residential electricity demand: New empirical evidence," Energy Policy, Elsevier, vol. 158(C).
  23. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
  24. Soo-Jin Lee & You-Jeong Kim & Hye-Sun Jin & Sung-Im Kim & Soo-Yeon Ha & Seung-Yeong Song, 2019. "Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis," Energies, MDPI, vol. 12(12), pages 1-18, June.
  25. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  26. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  27. Paulo Bastos & Lucio Castro & Julian Cristia & Carlos Scartascini, 2015. "Does Energy Consumption Respond to Price Shocks? Evidence from a Regression-Discontinuity Design," Journal of Industrial Economics, Wiley Blackwell, vol. 63(2), pages 249-278, June.
  28. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
  29. Tovar, Miguel A., 2012. "The structure of energy efficiency investment in the UK households and its average monetary and environmental savings," Energy Policy, Elsevier, vol. 50(C), pages 723-735.
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  32. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.
  33. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
  34. Shaun McRae, 2015. "Infrastructure Quality and the Subsidy Trap," American Economic Review, American Economic Association, vol. 105(1), pages 35-66, January.
  35. Bashir, Kamaleldin Ali, 1990. "Technical change in Iowa agricultural production: a conditional demand approach," ISU General Staff Papers 1990010108000017619, Iowa State University, Department of Economics.
  36. Inoue, Nozomu & Matsumoto, Shigeru, 2019. "An examination of losses in energy savings after the Japanese Top Runner Program?," Energy Policy, Elsevier, vol. 124(C), pages 312-319.
  37. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
  38. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
  39. Rijo M John, 2006. "Crowding-out Effect of Tobacco Expenditure And Its Implications on Intra-Household Resource Allocation," Microeconomics Working Papers 22396, East Asian Bureau of Economic Research.
  40. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
  41. Anna Risch & Claire Salmon, 2017. "What matters in residential energy consumption: evidence from France," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 40(1/2), pages 79-116.
  42. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
  43. Runa Nesbakken, 1998. "Price Sensitivity of Residential Energy Consumption in Norway," Discussion Papers 232, Statistics Norway, Research Department.
  44. Halvorsen, Bente & Larsen, Bodil M., 2001. "Norwegian residential electricity demand--a microeconomic assessment of the growth from 1976 to 1993," Energy Policy, Elsevier, vol. 29(3), pages 227-236, February.
  45. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
  46. Peter C. Reiss & Matthew W. White, 2008. "What changes energy consumption? Prices and public pressures," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 636-663, September.
  47. Pedone, Livio & Molaioni, Filippo & Vallati, Andrea & Pampanin, Stefano, 2023. "Energy refurbishment planning of Italian school buildings using data-driven predictive models," Applied Energy, Elsevier, vol. 350(C).
  48. Sudarshan, Anant, 2013. "Deconstructing the Rosenfeld curve: Making sense of California's low electricity intensity," Energy Economics, Elsevier, vol. 39(C), pages 197-207.
  49. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2007. "The Impact of Temperature Change on Energy Demand: A Dynamic Panel Analysis," Working Papers 2007.46, Fondazione Eni Enrico Mattei.
  50. Rosenberg, Eva, 2014. "Calculation method for electricity end-use for residential lighting," Energy, Elsevier, vol. 66(C), pages 295-304.
  51. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
  52. Newell, Richard G. & Pizer, William A., 2008. "Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand," Resource and Energy Economics, Elsevier, vol. 30(4), pages 527-539, December.
  53. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
  54. Yoo, Seung-Hoon & Lee, Joo Suk & Kwak, Seung-Jun, 2007. "Estimation of residential electricity demand function in Seoul by correction for sample selection bias," Energy Policy, Elsevier, vol. 35(11), pages 5702-5707, November.
  55. Halvorsen, Bente & Larsen, Bodil M., 2001. "The flexibility of household electricity demand over time," Resource and Energy Economics, Elsevier, vol. 23(1), pages 1-18, January.
  56. Peter Grösche, 2009. "Measuring residential energy efficiency improvements with DEA," Journal of Productivity Analysis, Springer, vol. 31(2), pages 87-94, April.
  57. Nazish Tehseen & Sheraz Ali Khan, 2017. "Fuel Demand Elasticities for Energy and Environmental Policies: Evidence from Household Data in Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 6(3), pages 117-129, September.
  58. Fumo, Nelson & Rafe Biswas, M.A., 2015. "Regression analysis for prediction of residential energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 332-343.
  59. Foucquier, Aurélie & Robert, Sylvain & Suard, Frédéric & Stéphan, Louis & Jay, Arnaud, 2013. "State of the art in building modelling and energy performances prediction: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 272-288.
  60. Reiss, Peter C. & White, Matthew W., 2003. "Demand and Pricing in Electricity Markets: Evidence from San Diego During California's Energy Crisis," Research Papers 1829, Stanford University, Graduate School of Business.
  61. James B. McDonald & Richard A. Michelfelder & Panayiotis Theodossiou, 2009. "Robust Regression Estimation Methods and Intercept Bias: A Capital Asset Pricing Model Application," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 293-321, September.
  62. Vesterberg, Mattias, 2016. "The hourly income elasticity of electricity," Energy Economics, Elsevier, vol. 59(C), pages 188-197.
  63. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
  64. Beccali, M. & Cellura, M. & Lo Brano, V. & Marvuglia, A., 2008. "Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2040-2065, October.
  65. Maria Chiara D'errico, 2020. "Demand Elasticity in the Italian Power Market: a Bayesian Experiment under dual pricing scheme," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
  66. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
  67. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2019. "Heterogeneity in German Residential Electricity Consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 131(C), pages 370-379.
  68. Papineau, Maya & Yassin, Kareman & Newsham, Guy & Brice, Sarah, 2021. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
  69. Shiraki, Hiroto & Nakamura, Shogo & Ashina, Shuichi & Honjo, Keita, 2016. "Estimating the hourly electricity profile of Japanese households – Coupling of engineering and statistical methods," Energy, Elsevier, vol. 114(C), pages 478-491.
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