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Understanding the spectrum of residential energy consumption: A quantile regression approach

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  1. Yawale, Satish Kumar & Hanaoka, Tatsuya & Kapshe, Manmohan & Pandey, Rahul, 2023. "End-use energy projections: Future regional disparity and energy poverty at the household level in rural and urban areas of India," Energy Policy, Elsevier, vol. 182(C).
  2. Naiming Xie & Alan Pearman, 2014. "Forecasting energy consumption in China following instigation of an energy-saving policy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 639-659, November.
  3. Zhang, Xingxing & Lovati, Marco & Vigna, Ilaria & Widén, Joakim & Han, Mengjie & Gal, Csilla & Feng, Tao, 2018. "A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions," Applied Energy, Elsevier, vol. 230(C), pages 1034-1056.
  4. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
  5. Age Poom & Rein Ahas, 2016. "How Does the Environmental Load of Household Consumption Depend on Residential Location?," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
  6. 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.
  7. Nsangou, Jean Calvin & Kenfack, Joseph & Nzotcha, Urbain & Ngohe Ekam, Paul Salomon & Voufo, Joseph & Tamo, Thomas T., 2022. "Explaining household electricity consumption using quantile regression, decision tree and artificial neural network," Energy, Elsevier, vol. 250(C).
  8. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
  9. Zhang, Dayong & Li, Jun & Ji, Qiang, 2020. "Does better access to credit help reduce energy intensity in China? Evidence from manufacturing firms," Energy Policy, Elsevier, vol. 145(C).
  10. Pere Ariza-Montobbio & Katharine Farrell & Gonzalo Gamboa & Jesus Ramos-Martin, 2014. "Integrating energy and land-use planning: socio-metabolic profiles along the rural–urban continuum in Catalonia (Spain)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(4), pages 925-956, August.
  11. Giovanni Marin & Alessandro Palma, 2015. "Technology invention and diffusion in residential energy consumption. A stochastic frontier approach," IEFE Working Papers 81, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
  12. Sanquist, Thomas F. & Orr, Heather & Shui, Bin & Bittner, Alvah C., 2012. "Lifestyle factors in U.S. residential electricity consumption," Energy Policy, Elsevier, vol. 42(C), pages 354-364.
  13. Elizabeth Hewitt & Yiyi Wang, 2020. "Understanding the Drivers of National-Level Energy Audit Behavior: Demographics and Socioeconomic Characteristics," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
  14. Kesriklioğlu, Esma & Oktay, Erkan & Karaaslan, Abdulkerim, 2023. "Predicting total household energy expenditures using ensemble learning methods," Energy, Elsevier, vol. 276(C).
  15. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled & Benkraien, Ramzi, 2022. "Quantile co-movement and dependence between energy-focused sectors and artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  16. van den Brom, Paula & Hansen, Anders Rhiger & Gram-Hanssen, Kirsten & Meijer, Arjen & Visscher, Henk, 2019. "Variances in residential heating consumption – Importance of building characteristics and occupants analysed by movers and stayers," Applied Energy, Elsevier, vol. 250(C), pages 713-728.
  17. Misbah Aslam & Eatzaz Ahmad, 2018. "Impact of Ageing and Generational Effects on Household Energy Consumption Behavior: Evidence from Pakistan," Energies, MDPI, vol. 11(8), pages 1-20, August.
  18. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
  19. Yao, Xi-Long & Liu, Yang & Yan, Xiao, 2014. "A quantile approach to assess the effectiveness of the subsidy policy for energy-efficient home appliances: Evidence from Rizhao, China," Energy Policy, Elsevier, vol. 73(C), pages 512-518.
  20. Do, Linh Phuong Catherine & Lyócsa, Štefan & Molnár, Peter, 2021. "Residual electricity demand: An empirical investigation," Applied Energy, Elsevier, vol. 283(C).
  21. Houshmand E. MASOUMI, 2014. "Urban Sprawl In Mid-Sized Cities Of Mena, Evidence From Yazd And Kashan In Central Iran," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 6(2), pages 25-41, June.
  22. Kang, J. & Reiner, D., 2021. "Machine Learning on residential electricity consumption: Which households are more responsive to weather?," Cambridge Working Papers in Economics 2142, Faculty of Economics, University of Cambridge.
  23. Noriza Mohd Saad & Erna Farina Mohamed & Mohamad Taufik Mohd Arshad & Ahmad Lutfi Mohayiddin, 2023. "Electricity Tariff Changes and Consumer Sentiment on Household Consumption Expenditure in Malaysia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 175-191, March.
  24. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.
  25. Lévy, Jean-Pierre & Belaïd, Fateh, 2018. "The determinants of domestic energy consumption in France: Energy modes, habitat, households and life cycles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2104-2114.
  26. Tso, Geoffrey K.F. & Guan, Jingjing, 2014. "A multilevel regression approach to understand effects of environment indicators and household features on residential energy consumption," Energy, Elsevier, vol. 66(C), pages 722-731.
  27. Raihanian Mashhadi, Ardeshir & Behdad, Sara, 2018. "Discriminant effects of consumer electronics use-phase attributes on household energy prediction," Energy Policy, Elsevier, vol. 118(C), pages 346-355.
  28. Djula Borozan & Mirjana Radman Funaric, 2018. "The Impact of Disaggregated Social Capital on Household Electricity Intensity," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 16(2), pages 189-207.
  29. Estiri, Hossein, 2015. "The indirect role of households in shaping US residential energy demand patterns," Energy Policy, Elsevier, vol. 86(C), pages 585-594.
  30. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
  31. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
  32. Gholipour, Hassan F. & Arjomandi, Amir & Yam, Sharon, 2022. "Green property finance and CO2 emissions in the building industry," Global Finance Journal, Elsevier, vol. 51(C).
  33. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
  34. Belaïd, Fateh, 2017. "Untangling the complexity of the direct and indirect determinants of the residential energy consumption in France: Quantitative analysis using a structural equation modeling approach," Energy Policy, Elsevier, vol. 110(C), pages 246-256.
  35. Belaïd, Fateh, 2016. "Understanding the spectrum of domestic energy consumption: Empirical evidence from France," Energy Policy, Elsevier, vol. 92(C), pages 220-233.
  36. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
  37. Valenzuela, Carlos & Valencia, Alelhie & White, Steve & Jordan, Jeffrey A. & Cano, Stephanie & Keating, Jerome & Nagorski, John & Potter, Lloyd B., 2014. "An analysis of monthly household energy consumption among single-family residences in Texas, 2010," Energy Policy, Elsevier, vol. 69(C), pages 263-272.
  38. Rowangould, Dana & Eldridge, Melody & Niemeier, Deb, 2013. "Incorporating regional growth into forecasts of greenhouse gas emissions from project-level residential and commercial development," Energy Policy, Elsevier, vol. 62(C), pages 1288-1300.
  39. Gouveia, João Pedro & Seixas, Júlia & Mestre, Ana, 2017. "Daily electricity consumption profiles from smart meters - Proxies of behavior for space heating and cooling," Energy, Elsevier, vol. 141(C), pages 108-122.
  40. Estiri, Hossein & Zagheni, Emilio, 2018. "Evaluating the Age-Energy Consumption Profile in Residential Buildings," SocArXiv yqkva, Center for Open Science.
  41. Wang, Xia & Ding, Chao & Zhou, Mao & Cai, Weiguang & Ma, Xianrui & Yuan, Jiachen, 2023. "Assessment of space heating consumption efficiency based on a household survey in the hot summer and cold winter climate zone in China," Energy, Elsevier, vol. 274(C).
  42. Cheng, Fenfen & Yang, Shanlin & Zhou, Kaile, 2020. "Quantile partial adjustment model with application to predicting energy demand in China," Energy, Elsevier, vol. 191(C).
  43. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
  44. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
  45. Yekang Ko & John D Radke, 2014. "The Effect of Urban Form and Residential Cooling Energy Use in Sacramento, California," Environment and Planning B, , vol. 41(4), pages 573-593, August.
  46. Mukherjee, Sayanti & Vineeth, C.R. & Nateghi, Roshanak, 2019. "Evaluating regional climate-electricity demand nexus: A composite Bayesian predictive framework," Applied Energy, Elsevier, vol. 235(C), pages 1561-1582.
  47. Borozan, Djula, 2019. "Unveiling the heterogeneous effect of energy taxes and income on residential energy consumption," Energy Policy, Elsevier, vol. 129(C), pages 13-22.
  48. Huber, Julian & Dann, David & Weinhardt, Christof, 2020. "Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging," Applied Energy, Elsevier, vol. 262(C).
  49. Niemierko, Rochus & Töppel, Jannick & Tränkler, Timm, 2019. "A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data," Applied Energy, Elsevier, vol. 233, pages 691-708.
  50. Wang, Xia & Fang, Yuan & Cai, Weiguang & Ding, Chao & Xie, Yupei, 2022. "Heating demand with heterogeneity in residential households in the hot summer and cold winter climate zone in China -A quantile regression approach," Energy, Elsevier, vol. 247(C).
  51. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
  52. Lester, T. William, 2013. "Dedicating new real estate transfer taxes for energy efficiency: A revenue option for scaling up Green Retrofit Programs," Energy Policy, Elsevier, vol. 62(C), pages 809-820.
  53. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
  54. Quan, Steven Jige & Li, Chaosu, 2021. "Urban form and building energy use: A systematic review of measures, mechanisms, and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  55. Yen-Jong Chen & Rodney H Matsuoka & Tzu-Min Liang, 2018. "Urban form, building characteristics, and residential electricity consumption: A case study in Tainan City," Environment and Planning B, , vol. 45(5), pages 933-952, September.
  56. Clune, Stephen & Morrissey, John & Moore, Trivess, 2012. "Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments," Energy Policy, Elsevier, vol. 48(C), pages 657-667.
  57. Niu, Shuwen & Jia, Yanqin & Ye, Liqiong & Dai, Runqi & Li, Na, 2016. "Does electricity consumption improve residential living status in less developed regions? An empirical analysis using the quantile regression approach," Energy, Elsevier, vol. 95(C), pages 550-560.
  58. Yeo, In-Ae & Yoon, Seong-Hwan & Yee, Jurng-Jae, 2013. "Development of an urban energy demand forecasting system to support environmentally friendly urban planning," Applied Energy, Elsevier, vol. 110(C), pages 304-317.
  59. Fanying Zheng & Fu Gu & Wujie Zhang & Jianfeng Guo, 2019. "Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
  60. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
  61. Rhodes, Joshua D. & Upshaw, Charles R. & Harris, Chioke B. & Meehan, Colin M. & Walling, David A. & Navrátil, Paul A. & Beck, Ariane L. & Nagasawa, Kazunori & Fares, Robert L. & Cole, Wesley J. & Kuma, 2014. "Experimental and data collection methods for a large-scale smart grid deployment: Methods and first results," Energy, Elsevier, vol. 65(C), pages 462-471.
  62. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.
  63. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
  64. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
  65. Nikhil Kaza & Roberto Quercia & Robert J. Sahadi, 2014. "Home energy efficiency and mortgage risks: an extended abstract," Community Development Innovation Review, Federal Reserve Bank of San Francisco, issue 01, pages 063-069.
  66. Liu, Xue & Ding, Yong & Tang, Hao & Fan, Lingxiao & Lv, Jie, 2022. "Investigating the effects of key drivers on energy consumption of nonresidential buildings: A data-driven approach integrating regularization and quantile regression," Energy, Elsevier, vol. 244(PA).
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