IDEAS home Printed from https://ideas.repec.org/r/eee/rensus/v56y2016icp810-819.html
   My bibliography  Save this item

Understanding household energy consumption behavior: The contribution of energy big data analytics

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Chen, Wen & Zhou, Kaile & Yang, Shanlin & Wu, Cheng, 2017. "Data quality of electricity consumption data in a smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 98-105.
  2. Enrico di Bella & Lucia Leporatti & Filomena Maggino, 2018. "Big Data and Social Indicators: Actual Trends and New Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 869-878, February.
  3. Gökhan Demirdöğen & Zeynep Işık & Yusuf Arayici, 2020. "Lean Management Framework for Healthcare Facilities Integrating BIM, BEPS and Big Data Analytics," Sustainability, MDPI, vol. 12(17), pages 1-33, August.
  4. Peter Ansu‐Mensah & Murad A. Bein, 2019. "Towards sustainable consumption: Predicting the impact of social‐psychological factors on energy conservation intentions in Northern Cyprus," Natural Resources Forum, Blackwell Publishing, vol. 43(3), pages 181-193, August.
  5. 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.
  6. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
  7. Yung Yau & Wai Kin Lau, 2018. "Big Data Approach as an Institutional Innovation to Tackle Hong Kong’s Illegal Subdivided Unit Problem," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
  8. Fang, Yujuan & Chen, Laijun & Mei, Shengwei & Wei, Wei & Huang, Shaowei & Liu, Feng, 2019. "Coal or electricity? An evolutionary game approach to investigate fuel choices of urban heat supply systems," Energy, Elsevier, vol. 181(C), pages 107-122.
  9. Tu, Chunming & He, Xi & Shuai, Zhikang & Jiang, Fei, 2017. "Big data issues in smart grid – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1099-1107.
  10. Zhen Yang & Jinhong Du & Yiting Lin & Zhen Du & Li Xia & Qianchuan Zhao & Xiaohong Guan, 2022. "Increasing the energy efficiency of a data center based on machine learning," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 323-335, February.
  11. Inga-Lill Söderberg & Misse Wester & Agnieszka Zalejska Jonsson, 2022. "Exploring Factors Promoting Recycling Behavior in Student Housing," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
  12. 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.
  13. Zixia Xiang & Yanhong Yin & Yuanwen He, 2018. "A Microeconomic Methodology to Evaluate Energy Efficiency by Consumption Behaviors and Strategies to Improve Energy Efficiency," Sustainability, MDPI, vol. 10(11), pages 1-11, November.
  14. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  15. Xinhui Lu & Kaile Zhou & Felix T. S. Chan & Shanlin Yang, 2017. "Optimal scheduling of household appliances for smart home energy management considering demand response," 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. 88(3), pages 1639-1653, September.
  16. Kowalska-Pyzalska, Anna, 2018. "What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3570-3581.
  17. 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).
  18. Zhou, Kaile & Yang, Changhui & Shen, Jianxin, 2017. "Discovering residential electricity consumption patterns through smart-meter data mining: A case study from China," Utilities Policy, Elsevier, vol. 44(C), pages 73-84.
  19. Cem Keskin & M. Pınar Mengüç, 2018. "On Occupant Behavior and Innovation Studies Towards High Performance Buildings: A Transdisciplinary Approach," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
  20. Aleksandra Matuszewska-Janica & Dorota Żebrowska-Suchodolska & Agnieszka Mazur-Dudzińska, 2021. "The Situation of Households on the Energy Market in the European Union: Consumption, Prices, and Renewable Energy," Energies, MDPI, vol. 14(19), pages 1-21, October.
  21. Zhang, Xiaoling & Wang, Yue, 2017. "How to reduce household carbon emissions: A review of experience and policy design considerations," Energy Policy, Elsevier, vol. 102(C), pages 116-124.
  22. Wang, Yao & Lin, Boqiang & Li, Minyang, 2021. "Is household electricity saving a virtuous circle? A case study of the first-tier cities in China," Applied Energy, Elsevier, vol. 285(C).
  23. Liu, Lucy & Workman, Mark & Hayes, Sarah, 2022. "Net Zero and the potential of consumer data - United Kingdom energy sector case study: The need for cross-sectoral best data practice principles," Energy Policy, Elsevier, vol. 163(C).
  24. Rajavuori, Mikko & Huhta, Kaisa, 2020. "Investment screening: Implications for the energy sector and energy security," Energy Policy, Elsevier, vol. 144(C).
  25. Lim, Keumju & Lee, Jongsu & Lee, Hyunjoo, 2021. "Implementing automated residential demand response in South Korea: Consumer preferences and market potential," Utilities Policy, Elsevier, vol. 70(C).
  26. Jinpeng Liu & Hao Yang & Delin Wei & Xiaohua Song, 2021. "Time Distribution Simulation of Household Power Load Based on Travel Chains and Monte Carlo–A Study of Beijing in Summer," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
  27. Joanna Rosak-Szyrocka & Justyna Żywiołek, 2022. "Qualitative Analysis of Household Energy Awareness in Poland," Energies, MDPI, vol. 15(6), pages 1-16, March.
  28. Lauma Balode & Kristiāna Dolge & Dagnija Blumberga, 2021. "The Contradictions between District and Individual Heating towards Green Deal Targets," Sustainability, MDPI, vol. 13(6), pages 1-26, March.
  29. Valor, Carmen & Escudero, Carmen & Labajo, Victoria & Cossent, Rafael, 2019. "Effective design of domestic energy efficiency displays: A proposed architecture based on empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
  30. Luan, Bingjiang & Zou, Hong & Huang, Junbing, 2023. "Digital divide and household energy poverty in China," Energy Economics, Elsevier, vol. 119(C).
  31. Li, Yunwei & Chen, Kui & Ding, Ruixin & Zhang, Jing & Hao, Yu, 2023. "How do photovoltaic poverty alleviation projects relieve household energy poverty? Evidence from China," Energy Economics, Elsevier, vol. 118(C).
  32. Minkyu Kim & Chankook Park, 2021. "Academic Topics Related to Household Energy Consumption Using the Future Sign Detection Technique," Energies, MDPI, vol. 14(24), pages 1-24, December.
  33. Serra, Daniele & Mardero, Daniele & Di Stefano, Luca & Grillo, Samuele, 2021. "Post-metering value-added services for low voltage electricity users: Lessons learned from the Italian experience of CHAIN 2," Applied Energy, Elsevier, vol. 304(C).
  34. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
  35. Wen, Lulu & Zhou, Kaile & Yang, Shanlin & Li, Lanlan, 2018. "Compression of smart meter big data: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 59-69.
  36. Wang, Jen Chun, 2022. "Understanding the energy consumption of information and communications equipment: A case study of schools in Taiwan," Energy, Elsevier, vol. 249(C).
  37. Baldini, Mattia & Trivella, Alessio & Wente, Jordan William, 2018. "The impact of socioeconomic and behavioural factors for purchasing energy efficient household appliances: A case study for Denmark," Energy Policy, Elsevier, vol. 120(C), pages 503-513.
  38. Zierler, Rupert & Wehrmeyer, Walter & Murphy, Richard, 2017. "The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator," Energy Policy, Elsevier, vol. 104(C), pages 38-49.
  39. Mi, Lingyun & Gan, Xiaoli & Sun, Yuhuan & Lv, Tao & Qiao, Lijie & Xu, Ting, 2021. "Effects of monetary and nonmonetary interventions on energy conservation: A meta-analysis of experimental studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
  40. Fang Wang & Yunqing Rao & Chaoyong Zhang & Qiuhua Tang & Liping Zhang, 2016. "Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes," Sustainability, MDPI, vol. 8(8), pages 1-20, August.
  41. Anders Dalén & Jan Krämer, 2017. "Towards a User-Centered Feedback Design for Smart Meter Interfaces to Support Efficient Energy-Use Choices," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(5), pages 361-373, October.
  42. Ma, Nan & Waegel, Alex & Hakkarainen, Max & Braham, William W. & Glass, Lior & Aviv, Dorit, 2023. "Blockchain + IoT sensor network to measure, evaluate and incentivize personal environmental accounting and efficient energy use in indoor spaces," Applied Energy, Elsevier, vol. 332(C).
  43. Fuentes-Cortés, Luis Fabián & Flores-Tlacuahuac, Antonio & Ponce-Ortega, José María, 2019. "Integrated utility pricing and design of water-energy rural off-grid systems," Energy, Elsevier, vol. 177(C), pages 511-529.
  44. Hongyun Han & Shu Wu, 2019. "Determinants of the Behavioral Lock-in of Rural Residents’ Direct Biomass Energy Consumption in China," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
  45. 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.
  46. D’Oca, Simona & Hong, Tianzhen & Langevin, Jared, 2018. "The human dimensions of energy use in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 731-742.
  47. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
  48. 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.
  49. Muhammad Ridhuan Tony Lim Abdullah & Mohd Nuri Al-Amin Endut & Farrah Ilyani Che Jamaludin & Jalal ud Din Akbar & Asra, 2022. "Individual Energy Consumption Behavior Leads to Energy Sustainability in Malaysia," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
  50. E. Cuadrado & L. H. Macias-Zambrano & A. J. Carpio & C. Tabernero, 2022. "The moderating effect of collective efficacy on the relationship between environmental values and ecological behaviors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4175-4202, March.
  51. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
  52. Carmen Ramos Carvajal & Ana Salomé García-Muñiz & Blanca Moreno Cuartas, 2019. "Assessing Socioeconomic Impacts of Integrating Distributed Energy Resources in Electricity Markets through Input-Output Models," Energies, MDPI, vol. 12(23), pages 1-21, November.
  53. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
  54. Jong Hwan Suh, 2018. "Generating Future-Oriented Energy Policies and Technologies from the Multidisciplinary Group Discussions by Text-Mining-Based Identification of Topics and Experts," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
  55. Saqib Ali & Habib Ullah & Minhas Akbar & Waheed Akhtar & Hasan Zahid, 2019. "Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
  56. Valeriy Prasolov & Valery Bezpalov & Svetlana Doguchaeva & Rodion Rogulin, 2020. "Energy Price Formation and Energy Consumption by Households as a Factor of Ensuring Energy Safety," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 82-93.
  57. Jakučionytė-Skodienė, Miglė & Dagiliūtė, Renata & Liobikienė, Genovaitė, 2020. "Do general pro-environmental behaviour, attitude, and knowledge contribute to energy savings and climate change mitigation in the residential sector?," Energy, Elsevier, vol. 193(C).
  58. Artur Kwasek & Magdalena Maciaszczyk & Maria Kocot & Agnieszka Rzepka & Damian Kocot & Hubert Gąsiński & Dariusz Prokopowicz, 2023. "Energy Saving Practices in the IT Area as a Factor of Sustainable Development of the Organization: A Case Study of Poland," Energies, MDPI, vol. 16(4), pages 1-14, February.
  59. Wang, Shanyong & Lin, Shoufu & Li, Jun, 2018. "Exploring the effects of non-cognitive and emotional factors on household electricity saving behavior," Energy Policy, Elsevier, vol. 115(C), pages 171-180.
  60. Xiao Han & Chu Wei, 2021. "Household energy consumption: state of the art, research gaps, and future prospects," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12479-12504, August.
  61. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
  62. Olga Pilipczuk, 2020. "Sustainable Smart Cities and Energy Management: The Labor Market Perspective," Energies, MDPI, vol. 13(22), pages 1-24, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.