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Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes

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Cited by:

  1. Jacqueline Nicole Adams & Zsófia Deme Bélafi & Miklós Horváth & János Balázs Kocsis & Tamás Csoknyai, 2021. "How Smart Meter Data Analysis Can Support Understanding the Impact of Occupant Behavior on Building Energy Performance: A Comprehensive Review," Energies, MDPI, vol. 14(9), pages 1-23, April.
  2. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
  3. Mohammadi, Neda & Taylor, John E., 2017. "Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction," Applied Energy, Elsevier, vol. 195(C), pages 810-818.
  4. Parag, Yael, 2021. "Which factors influence large households’ decision to join a time-of-use program? The interplay between demand flexibility, personal benefits and national benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  5. Satre-Meloy, Aven, 2019. "Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models," Energy, Elsevier, vol. 174(C), pages 148-168.
  6. Shen, Meng & Lu, Yujie & Wei, Kua Harn & Cui, Qingbin, 2020. "Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
  7. David Borge-Diez & Pedro Miguel Ortega-Cabezas & Antonio Colmenar-Santos & Jorge Juan Blanes-Peiró, 2021. "Contribution of Driving Efficiency to Vehicle-to-Building," Energies, MDPI, vol. 14(12), pages 1-30, June.
  8. Irfan, Mohd & Yadav, Sarvendra & Shaw, Krishnendu, 2021. "The adoption of solar photovoltaic technology among Indian households: Examining the influence of entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  9. Yilmaz, S. & Majcen, D. & Heidari, M. & Mahmoodi, J. & Brosch, T. & Patel, M.K., 2019. "Analysis of the impact of energy efficiency labelling and potential changes on electricity demand reduction of white goods using a stock model: The case of Switzerland," Applied Energy, Elsevier, vol. 239(C), pages 117-132.
  10. De Lauretis, Simona & Ghersi, Frédéric & Cayla, Jean-Michel, 2017. "Energy consumption and activity patterns: An analysis extended to total time and energy use for French households," Applied Energy, Elsevier, vol. 206(C), pages 634-648.
  11. Li, Jianbin & Chen, Zhiqiang & Cheng, Long & Liu, Xiufeng, 2022. "Energy data generation with Wasserstein Deep Convolutional Generative Adversarial Networks," Energy, Elsevier, vol. 257(C).
  12. Sol Kim & Sungwon Jung & Seung-Man Baek, 2019. "A Model for Predicting Energy Usage Pattern Types with Energy Consumption Information According to the Behaviors of Single-Person Households in South Korea," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
  13. Nilsson, Anders & Lazarevic, David & Brandt, Nils & Kordas, Olga, 2018. "Household responsiveness to residential demand response strategies: Results and policy implications from a Swedish field study," Energy Policy, Elsevier, vol. 122(C), pages 273-286.
  14. Muhammad Imran & Azlan Zahid & Salma Mouneer & Orhan Özçatalbaş & Shamsheer Ul Haq & Pomi Shahbaz & Muhammad Muzammil & Muhammad Ramiz Murtaza, 2022. "Relationship between Household Dynamics, Biomass Consumption, and Carbon Emissions in Pakistan," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
  15. Yilmaz, S. & Weber, S. & Patel, M.K., 2019. "Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes," Energy Policy, Elsevier, vol. 133(C).
  16. Salas-Zapata, Walter & Hoyos-Medina, Lorena & Mejía-Durango, Diana, 2023. "Urban residential water and electricity consumption behavior: A systematic literature review," Utilities Policy, Elsevier, vol. 83(C).
  17. Boni Sena & Sheikh Ahmad Zaki & Hom Bahadur Rijal & Jorge Alfredo Ardila-Rey & Nelidya Md Yusoff & Fitri Yakub & Mohammad Kholid Ridwan & Firdaus Muhammad-Sukki, 2021. "Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey," Sustainability, MDPI, vol. 13(2), pages 1-31, January.
  18. Cheng, Xiu & Long, Ruyin & Chen, Hong & Yang, Jiahui, 2019. "Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  19. Ohler, Adrienne M. & Loomis, David G. & Ilves, Kadi, 2020. "A study of electricity savings from energy star appliances using household survey data," Energy Policy, Elsevier, vol. 144(C).
  20. Fang, Hongliang & Wang, Yan-Wu & Xiao, Jiang-Wen & Cui, Shichang & Qin, Zhaoyu, 2021. "A new mining framework with piecewise symbolic spatial clustering," Applied Energy, Elsevier, vol. 298(C).
  21. Calvin Nsangou, Jean & Kenfack, Joseph & Nzotcha, Urbain & Tamo, Thomas Tatietse, 2020. "Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach," Energy, Elsevier, vol. 211(C).
  22. Sijousa Basumatary & Mridula Devi & Konita Basumatary, 2021. "Determinants of Household Electricity Demand in Rural India: A Case Study of the Impacts of Government Subsidies and Surcharges," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 243-249.
  23. Salah Bouktif & Ali Ouni & Sanja Lazarova-Molnar, 2022. "Towards a Rigorous Consideration of Occupant Behaviours of Residential Households for Effective Electrical Energy Savings: An Overview," Energies, MDPI, vol. 15(5), pages 1-30, February.
  24. Salem, Mohammed Z. & Ertz, Myriam & Sarigӧllü, Emine, 2021. "Demarketing strategies to rationalize electricity consumption in the Gaza Strip-Palestine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
  25. Porse, Erik & Fournier, Eric & Cheng, Dan & Hirashiki, Claire & Gustafson, Hannah & Federico, Felicia & Pincetl, Stephanie, 2020. "Net solar generation potential from urban rooftops in Los Angeles," Energy Policy, Elsevier, vol. 142(C).
  26. Besagni, Giorgio & Borgarello, Marco & Premoli Vilà, Lidia & Najafi, Behzad & Rinaldi, Fabio, 2020. "MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways," Energy, Elsevier, vol. 211(C).
  27. Fei Wang & Yili Yu & Xinkang Wang & Hui Ren & Miadreza Shafie-Khah & João P. S. Catalão, 2018. "Residential Electricity Consumption Level Impact Factor Analysis Based on Wrapper Feature Selection and Multinomial Logistic Regression," Energies, MDPI, vol. 11(5), pages 1-26, May.
  28. Rosenfelder, Markus & Wussow, Moritz & Gust, Gunther & Cremades, Roger & Neumann, Dirk, 2021. "Predicting residential electricity consumption using aerial and street view images," Applied Energy, Elsevier, vol. 301(C).
  29. 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).
  30. Innocent, Morgane & Francois-Lecompte, Agnes & Roudaut, Nolwenn, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
  31. Chen, Zhiqiang & Li, Jianbin & Cheng, Long & Liu, Xiufeng, 2023. "Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation," Applied Energy, Elsevier, vol. 334(C).
  32. Savino, Matteo M. & Manzini, Riccardo & Della Selva, Vincenzo & Accorsi, Riccardo, 2017. "A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines," Applied Energy, Elsevier, vol. 189(C), pages 739-752.
  33. Besagni, Giorgio & Borgarello, Marco, 2018. "The determinants of residential energy expenditure in Italy," Energy, Elsevier, vol. 165(PA), pages 369-386.
  34. Miriam Berretta & Joshua Furgeson & Yue (Nicole) Wu & Collins Zamawe & Ian Hamilton & John Eyers, 2021. "Residential energy efficiency interventions: A meta‐analysis of effectiveness studies," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
  35. Fournier, Eric D. & Federico, Felicia & Porse, Erik & Pincetl, Stephanie, 2019. "Effects of building size growth on residential energy efficiency and conservation in California," Applied Energy, Elsevier, vol. 240(C), pages 446-452.
  36. 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).
  37. Zhou, Xiao & Huang, Zhou & Scheuer, Bronte & Wang, Han & Zhou, Guoqing & Liu, Yu, 2023. "High-resolution estimation of building energy consumption at the city level," Energy, Elsevier, vol. 275(C).
  38. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Are You a Typical Energy Consumer? Socioeconomic Characteristics of Behavioural Segmentation Representatives of 8 European Countries," Energies, MDPI, vol. 14(19), pages 1-28, September.
  39. Matar, Walid, 2018. "Households' response to changes in electricity pricing schemes: Bridging microeconomic and engineering principles," Energy Economics, Elsevier, vol. 75(C), pages 300-308.
  40. Wang, Endong, 2017. "Decomposing core energy factor structure of U.S. residential buildings through principal component analysis with variable clustering on high-dimensional mixed data," Applied Energy, Elsevier, vol. 203(C), pages 858-873.
  41. Bashiri, Ali & Alizadeh, Sasan H., 2018. "The analysis of demographics, environmental and knowledge factors affecting prospective residential PV system adoption: A study in Tehran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3131-3139.
  42. Wadud, Zia & Royston, Sarah & Selby, Jan, 2019. "Modelling energy demand from higher education institutions: A case study of the UK," Applied Energy, Elsevier, vol. 233, pages 816-826.
  43. Spandagos, Constantine & Yarime, Masaru & Baark, Erik & Ng, Tze Ling, 2020. "“Triple Target” policy framework to influence household energy behavior: Satisfy, strengthen, include," Applied Energy, Elsevier, vol. 269(C).
  44. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Energy-Related Behaviour of Consumers from the Silesia Province (Poland)—Towards a Low-Carbon Economy," Energies, MDPI, vol. 14(8), pages 1-23, April.
  45. Hafize Nurgul Durmus Senyapar & Ahmet Aksoz, 2024. "Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions," Sustainability, MDPI, vol. 16(7), pages 1-23, April.
  46. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).
  47. Ye, Zhongnan & Cheng, Kuangly & Hsu, Shu-Chien & Wei, Hsi-Hsien & Cheung, Clara Man, 2021. "Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach," Applied Energy, Elsevier, vol. 301(C).
  48. Lee, Soo-Jin & Song, Seung-Yeong, 2022. "Time-series analysis of the effects of building and household features on residential end-use energy," Applied Energy, Elsevier, vol. 312(C).
  49. Kaneko, Nanae & Fujimoto, Yu & Kabe, Satoshi & Hayashida, Motonari & Hayashi, Yasuhiro, 2020. "Sparse modeling approach for identifying the dominant factors affecting situation-dependent hourly electricity demand," Applied Energy, Elsevier, vol. 265(C).
  50. Zhang, Yanquan & Chang, Ruidong & Zuo, Jian & Shabunko, Veronika & Zheng, Xian, 2023. "Regional disparity of residential solar panel diffusion in Australia: The roles of socio-economic factors," Renewable Energy, Elsevier, vol. 206(C), pages 808-819.
  51. Agrawal, Shalu & Harish, S.P. & Mahajan, Aseem & Thomas, Daniel & Urpelainen, Johannes, 2020. "Influence of improved supply on household electricity consumption - Evidence from rural India," Energy, Elsevier, vol. 211(C).
  52. Brazil, William & Harold, Jason & Curtis, John, 2019. "The role of socio-economic characteristics in predicting peak period appliance use," Papers WP628, Economic and Social Research Institute (ESRI).
  53. Li, Qianwen & Long, Ruyin & Chen, Hong, 2018. "Differences and influencing factors for Chinese urban resident willingness to pay for green housings: Evidence from five first-tier cities in China," Applied Energy, Elsevier, vol. 229(C), pages 299-313.
  54. Zanocco, C. & Flora, J. & Rajagopal, R. & Boudet, H., 2021. "Exploring the effects of California's COVID-19 shelter-in-place order on household energy practices and intention to adopt smart home technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  55. Gordon Rausser & Wadim Strielkowski & Dalia Å treimikienÄ—, 2018. "Smart meters and household electricity consumption: A case study in Ireland," Energy & Environment, , vol. 29(1), pages 131-146, February.
  56. Xiu Cheng & Jiameng Yang & Yumei Jiang & Wenbin Liu & Yang Zhang, 2022. "Determinants of Proactive Low-Carbon Consumption Behaviors: Insights from Urban Residents in Eastern China," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
  57. Paraskevas Koukaras & Akeem Mustapha & Aristeidis Mystakidis & Christos Tjortjis, 2024. "Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models," Energies, MDPI, vol. 17(6), pages 1-26, March.
  58. Brandsma, Jeroen S. & Blasch, Julia E., 2019. "One for all? – The impact of different types of energy feedback and goal setting on individuals’ motivation to conserve electricity," Energy Policy, Elsevier, vol. 135(C).
  59. Ahmed Gassar, Abdo Abdullah & Yun, Geun Young & Kim, Sumin, 2019. "Data-driven approach to prediction of residential energy consumption at urban scales in London," Energy, Elsevier, vol. 187(C).
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