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Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

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  1. Lü, Xiaoshu & Lu, Tao & Kibert, Charles J. & Viljanen, Martti, 2015. "Modeling and forecasting energy consumption for heterogeneous buildings using a physical–statistical approach," Applied Energy, Elsevier, vol. 144(C), pages 261-275.
  2. Rocío Escandón & Rafael Suárez & Juan José Sendra & Fabrizio Ascione & Nicola Bianco & Gerardo Maria Mauro, 2019. "Predicting the Impact of Climate Change on Thermal Comfort in A Building Category: The Case of Linear-type Social Housing Stock in Southern Spain," Energies, MDPI, vol. 12(12), pages 1-21, June.
  3. Mastrucci, Alessio & Marvuglia, Antonino & Benetto, Enrico & Leopold, Ulrich, 2020. "A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
  4. Bingtuan Gao & Xiaofeng Liu & Zhenyu Zhu, 2018. "A Bottom-Up Model for Household Load Profile Based on the Consumption Behavior of Residents," Energies, MDPI, vol. 11(8), pages 1-16, August.
  5. Taniguchi-Matsuoka, Ayako & Shimoda, Yoshiyuki & Sugiyama, Minami & Kurokawa, Yusuke & Matoba, Haruka & Yamasaki, Tomoya & Morikuni, Taro & Yamaguchi, Yohei, 2020. "Evaluating Japan’s national greenhouse gas reduction policy using a bottom-up residential end-use energy simulation model," Applied Energy, Elsevier, vol. 279(C).
  6. Marjana Šijanec Zavrl & Gašper Stegnar & Andraž Rakušček & Henrik Gjerkeš, 2016. "A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
  7. 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.
  8. Attia, Shady & Evrard, Arnaud & Gratia, Elisabeth, 2012. "Development of benchmark models for the Egyptian residential buildings sector," Applied Energy, Elsevier, vol. 94(C), pages 270-284.
  9. Yunesky Masip & Anibal Gutierrez & Joel Morales & Antonio Campo & Meyli Valín, 2019. "Integrated Renewable Energy System Based on IREOM Model and Spatial–Temporal Series for Isolated Rural Areas in the Region of Valparaiso, Chile," Energies, MDPI, vol. 12(6), pages 1-19, March.
  10. 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.
  11. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
  12. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
  13. Gianni Guastella & Stefano Pareglio & Massimiliano Rizzati & Enrico Lippo, 2020. "The Changing Spatial Distribution Of Electricity Demand In Europe: Insights For The Transition To Low-Carbon Cities," Briefs, Fondazione Eni Enrico Mattei, November.
  14. 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.
  15. Seyed Azad Nabavi & Alireza Aslani & Martha A. Zaidan & Majid Zandi & Sahar Mohammadi & Naser Hossein Motlagh, 2020. "Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors," Energies, MDPI, vol. 13(19), pages 1-22, October.
  16. Daly, Hannah E. & Ó Gallachóir, Brian P., 2012. "Future energy and emissions policy scenarios in Ireland for private car transport," Energy Policy, Elsevier, vol. 51(C), pages 172-183.
  17. Damianakis, Nikolaos & Mouli, Gautham Ram Chandra & Bauer, Pavol & Yu, Yunhe, 2023. "Assessing the grid impact of Electric Vehicles, Heat Pumps & PV generation in Dutch LV distribution grids," Applied Energy, Elsevier, vol. 352(C).
  18. Antanasijević, Davor & Pocajt, Viktor & Ristić, Mirjana & Perić-Grujić, Aleksandra, 2015. "Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks," Energy, Elsevier, vol. 84(C), pages 816-824.
  19. Gal Hochman & Chrysostomos Tabakis, 2020. "The Potential Implications of the Introduction of Bioelectricity in South Korea," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
  20. Hu, Maomao & Xiao, Fu & Wang, Lingshi, 2017. "Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model," Applied Energy, Elsevier, vol. 207(C), pages 324-335.
  21. Kialashaki, Arash & Reisel, John R., 2013. "Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks," Applied Energy, Elsevier, vol. 108(C), pages 271-280.
  22. Turki Alajmi & Patrick Phelan, 2020. "Modeling and Forecasting End-Use Energy Consumption for Residential Buildings in Kuwait Using a Bottom-Up Approach," Energies, MDPI, vol. 13(8), pages 1-19, April.
  23. Karunathilake, Hirushie & Hewage, Kasun & Sadiq, Rehan, 2018. "Opportunities and challenges in energy demand reduction for Canadian residential sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2005-2016.
  24. Mezősi, András & Beöthy, Ákos & Kácsor, Enikő & Törőcsik, Ágnes, 2016. "A magyarországi távhő-szabályozás modellezése. A megújuló energiára alapozott hőtermelés [Modelling policy options in the district heating sector, with a focus on renewable consumption]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1149-1176.
  25. Yilmaz, S. & Chambers, J. & Patel, M.K., 2019. "Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management," Energy, Elsevier, vol. 180(C), pages 665-677.
  26. Gatt, Damien & Yousif, Charles & Cellura, Maurizio & Camilleri, Liberato & Guarino, Francesco, 2020. "Assessment of building energy modelling studies to meet the requirements of the new Energy Performance of Buildings Directive," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
  27. Brühl, Johanna & Smith, Grant & Visser, Martine, 2019. "Simple is good: Redesigning utility bills to reduce complexity and increase understanding," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
  28. Zhen Hu & Mei Wang & Zhe Cheng, 2022. "Mapping the knowledge development and trend of household energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6053-6071, May.
  29. 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.
  30. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
  31. Olaya, Yris & Vásquez, Felipe & Müller, Daniel B., 2017. "Dwelling stock dynamics for addressing housing deficit," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 187-199.
  32. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
  33. Caputo, Paola & Costa, Gaia & Ferrari, Simone, 2013. "A supporting method for defining energy strategies in the building sector at urban scale," Energy Policy, Elsevier, vol. 55(C), pages 261-270.
  34. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
  35. Dineen, D. & Ó Gallachóir, B.P., 2017. "Exploring the range of energy savings likely from energy efficiency retrofit measures in Ireland's residential sector," Energy, Elsevier, vol. 121(C), pages 126-134.
  36. 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.
  37. 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.
  38. 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.
  39. Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
  40. Balaras, Constantinos A. & Dascalaki, Elena G. & Droutsa, Kalliopi G. & Kontoyiannidis, Simon, 2016. "Empirical assessment of calculated and actual heating energy use in Hellenic residential buildings," Applied Energy, Elsevier, vol. 164(C), pages 115-132.
  41. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
  42. Mauree, Dasaraden & Naboni, Emanuele & Coccolo, Silvia & Perera, A.T.D. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 733-746.
  43. Oraiopoulos, A. & Howard, B., 2022. "On the accuracy of Urban Building Energy Modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
  44. El-Khattabi, Ahmed Rachid & Eskaf, Shadi & Isnard, Julien P. & Lin, Laurence & McManus, Brian & Yates, Andrew J., 2021. "Heterogeneous responses to price: Evidence from residential water consumers," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
  45. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
  46. Teotónio, Carla & Fortes, Patrícia & Roebeling, Peter & Rodriguez, Miguel & Robaina-Alves, Margarita, 2017. "Assessing the impacts of climate change on hydropower generation and the power sector in Portugal: A partial equilibrium approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 788-799.
  47. McKenna, Eoghan & Richardson, Ian & Thomson, Murray, 2012. "Smart meter data: Balancing consumer privacy concerns with legitimate applications," Energy Policy, Elsevier, vol. 41(C), pages 807-814.
  48. Omar Shafqat & Elena Malakhtka & Nina Chrobot & Per Lundqvist, 2021. "End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
  49. Martos, A. & Pacheco-Torres, R. & Ordóñez, J. & Jadraque-Gago, E., 2016. "Towards successful environmental performance of sustainable cities: Intervening sectors. A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 479-495.
  50. Wei Yu & Baizhan Li & Yarong Lei & Meng Liu, 2011. "Analysis of a Residential Building Energy Consumption Demand Model," Energies, MDPI, vol. 4(3), pages 1-13, March.
  51. Radhi, H., 2010. "On the optimal selection of wall cladding system to reduce direct and indirect CO2 emissions," Energy, Elsevier, vol. 35(3), pages 1412-1424.
  52. Charlier, Dorothée & Risch, Anna & Salmon, Claire, 2018. "Energy Burden Alleviation and Greenhouse Gas Emissions Reduction: Can We Reach Two Objectives With One Policy?," Ecological Economics, Elsevier, vol. 143(C), pages 294-313.
  53. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
  54. Anna Chiara Benedetti & Carlo Costantino & Riccardo Gulli & Giorgia Predari, 2022. "The Process of Digitalization of the Urban Environment for the Development of Sustainable and Circular Cities: A Case Study of Bologna, Italy," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
  55. 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.
  56. Fabrizio Ascione & Nicola Bianco & Claudio De Stasio & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2017. "Addressing Large-Scale Energy Retrofit of a Building Stock via Representative Building Samples: Public and Private Perspectives," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
  57. Marcin Zygmunt & Dariusz Gawin, 2021. "Application of Artificial Neural Networks in the Urban Building Energy Modelling of Polish Residential Building Stock," Energies, MDPI, vol. 14(24), pages 1-15, December.
  58. Paoli, Leonardo & Lupton, Richard C. & Cullen, Jonathan M., 2018. "Useful energy balance for the UK: An uncertainty analysis," Applied Energy, Elsevier, vol. 228(C), pages 176-188.
  59. Hsu, David, 2015. "Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data," Applied Energy, Elsevier, vol. 160(C), pages 153-163.
  60. Darrell B. Sonntag & Hanyong Jung & Royce P. Harline & Tyler C. Peterson & Selah E. Willis & Taylor R. Christensen & James D. Johnston, 2023. "Infiltration of Outdoor PM 2.5 Pollution into Homes with Evaporative Coolers in Utah County," Sustainability, MDPI, vol. 16(1), pages 1-17, December.
  61. Martin Eriksson & Jan Akander & Bahram Moshfegh, 2022. "Investigating Energy Use in a City District in Nordic Climate Using Energy Signature," Energies, MDPI, vol. 15(5), pages 1-22, March.
  62. Wang, Siyan & Sun, Xun & Lall, Upmanu, 2017. "A hierarchical Bayesian regression model for predicting summer residential electricity demand across the U.S.A," Energy, Elsevier, vol. 140(P1), pages 601-611.
  63. Park, Sungjun & Kim, Jinsoo, 2018. "The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data," Renewable Energy, Elsevier, vol. 127(C), pages 1004-1010.
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  65. Suzane A. Monteiro & Flávia P. Monteiro & Maria E. L. Tostes & Carminda M. Carvalho, 2020. "Methodology for Energy Efficiency on Lighting and Air Conditioning Systems in Buildings Using a Multi-Objective Optimization Algorithm," Energies, MDPI, vol. 13(13), pages 1-26, June.
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  67. Lei, Lei & Wu, Bing & Fang, Xin & Chen, Li & Wu, Hao & Liu, Wei, 2023. "A dynamic anomaly detection method of building energy consumption based on data mining technology," Energy, Elsevier, vol. 263(PA).
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