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

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  • Zhou, Kaile
  • Yang, Shanlin

Abstract

Understanding and changing household energy consumption behavior are considered as effective ways to improve energy efficiency and promote energy conservation. With the increasing penetration of conventional and emerging information and communication technologies (ICTs) in energy sector, traditional energy systems are being digitized. The energy big data provides a new way to analyze and understand individuals׳ energy consumption behavior, and thus to improve energy efficiency and promote energy conservation. We first propose a framework of the interdisciplinary research of energy, social and information science, which includes energy social science, social informatics and energy informatics. Then, different dimensions and different research paradigms of household energy consumption behavior are presented. Household energy consumption behavior can be analyzed in time dimension, user dimension and spatial dimension. The economic paradigm (including demand response) and the behavior-oriented paradigm (including intervention strategies) are two major research streams of household energy consumption behavior. Finally, the “4V” characteristics (i.e., volume, velocity, variety and value) of energy big data are discussed.

Suggested Citation

  • Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    • Handle: RePEc:eee:rensus:v:56:y:2016:i:c:p:810-819
    DOI: 10.1016/j.rser.2015.12.001
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    as
    1. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Barr, Stewart & Gilg, Andrew W & Ford, Nicholas, 2005. "The household energy gap: examining the divide between habitual- and purchase-related conservation behaviours," Energy Policy, Elsevier, vol. 33(11), pages 1425-1444, July.
    3. Mohamed, Ahmed M.A. & Al-Habaibeh, Amin & Abdo, Hafez & Elabar, Sherifa, 2015. "Towards exporting renewable energy from MENA region to Europe: An investigation into domestic energy use and householders’ energy behaviour in Libya," Applied Energy, Elsevier, vol. 146(C), pages 247-262.
    4. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    5. Zhou, Kai-le & Yang, Shan-lin & Shen, Chao, 2013. "A review of electric load classification in smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 103-110.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    8. Wicker, Pamela & Becken, Susanne, 2013. "Conscientious vs. ambivalent consumers: Do concerns about energy availability and climate change influence consumer behaviour?," Ecological Economics, Elsevier, vol. 88(C), pages 41-48.
    9. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
    10. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    11. Botetzagias, Iosif & Malesios, Chrisovaladis & Poulou, Dimitra, 2014. "Electricity curtailment behaviors in Greek households: Different behaviors, different predictors," Energy Policy, Elsevier, vol. 69(C), pages 415-424.
    12. Zhou, Kaile & Yang, Shanlin & Chen, Zhiqiang & Ding, Shuai, 2014. "Optimal load distribution model of microgrid in the smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 304-310.
    13. Sapci, Onur & Considine, Timothy, 2014. "The link between environmental attitudes and energy consumption behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 29-34.
    14. Gobinda Chowdhury, 2012. "Building environmentally sustainable information services: A green is research agenda," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(4), pages 633-647, April.
    15. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    16. Kobus, Charlotte B.A. & Klaassen, Elke A.M. & Mugge, Ruth & Schoormans, Jan P.L., 2015. "A real-life assessment on the effect of smart appliances for shifting households’ electricity demand," Applied Energy, Elsevier, vol. 147(C), pages 335-343.
    17. Sorrell, Steve, 2015. "Reducing energy demand: A review of issues, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 74-82.
    18. Boudet, Hilary & Ardoin, Nicole M. & Flora, June & Armel, K. Carrie & Desai, Manisha & Robinson, Thomas N., 2014. "Energy behaviours of northern California Girl Scouts and their families," Energy Policy, Elsevier, vol. 73(C), pages 439-449.
    19. Nilsson, Andreas & Bergstad, Cecilia Jakobsson & Thuvander, Liane & Andersson, David & Andersson, Kristin & Meiling, Pär, 2014. "Effects of continuous feedback on households’ electricity consumption: Potentials and barriers," Applied Energy, Elsevier, vol. 122(C), pages 17-23.
    20. Zhou, Kaile & Yang, Shanlin, 2015. "A framework of service-oriented operation model of China׳s power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 719-725.
    21. Ellegård, Kajsa & Palm, Jenny, 2011. "Visualizing energy consumption activities as a tool for making everyday life more sustainable," Applied Energy, Elsevier, vol. 88(5), pages 1920-1926, May.
    22. Vassileva, Iana & Wallin, Fredrik & Dahlquist, Erik, 2012. "Analytical comparison between electricity consumption and behavioral characteristics of Swedish households in rented apartments," Applied Energy, Elsevier, vol. 90(1), pages 182-188.
    23. Jacqueline Corbett, 2013. "Using information systems to improve energy efficiency: Do smart meters make a difference?," Information Systems Frontiers, Springer, vol. 15(5), pages 747-760, November.
    24. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    25. Allen, Chris T, 1982. "Self-Perception Based Strategies for Stimulating Energy Conservation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 381-390, March.
    26. Matthew Harding & Alice Hsiaw, 2014. "Goal Setting and Energy Conservation," Working Papers 1403, College of the Holy Cross, Department of Economics, revised Aug 2014.
    27. Linden, Anna-Lisa & Carlsson-Kanyama, Annika & Eriksson, Bjorn, 2006. "Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change?," Energy Policy, Elsevier, vol. 34(14), pages 1918-1927, September.
    28. Moghaddam, M. Parsa & Abdollahi, A. & Rashidinejad, M., 2011. "Flexible demand response programs modeling in competitive electricity markets," Applied Energy, Elsevier, vol. 88(9), pages 3257-3269.
    29. Vassileva, Iana & Dahlquist, Erik & Wallin, Fredrik & Campillo, Javier, 2013. "Energy consumption feedback devices’ impact evaluation on domestic energy use," Applied Energy, Elsevier, vol. 106(C), pages 314-320.
    30. Vassileva, Iana & Odlare, Monica & Wallin, Fredrik & Dahlquist, Erik, 2012. "The impact of consumers’ feedback preferences on domestic electricity consumption," Applied Energy, Elsevier, vol. 93(C), pages 575-582.
    31. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2014. "Domestic energy consumption patterns in a hot and humid climate: A multiple-case study analysis," Applied Energy, Elsevier, vol. 114(C), pages 353-365.
    32. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    33. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.
    34. Han, Q. & Nieuwenhijsen, I. & de Vries, B. & Blokhuis, E. & Schaefer, W., 2013. "Intervention strategy to stimulate energy-saving behavior of local residents," Energy Policy, Elsevier, vol. 52(C), pages 706-715.
    35. Revell, Kristy, 2014. "Estimating the environmental impact of home energy visits and extent of behaviour change," Energy Policy, Elsevier, vol. 73(C), pages 461-470.
    36. Gobinda Chowdhury, 2012. "Building environmentally sustainable information services: A green is research agenda," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(4), pages 633-647, April.
    37. Cai, Shun & Chen, Xi & Bose, Indranil, 2013. "Exploring the role of IT for environmental sustainability in China: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 146(2), pages 491-500.
    38. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2014. "Domestic energy consumption patterns in a hot and arid climate: A multiple-case study analysis," Renewable Energy, Elsevier, vol. 62(C), pages 369-378.
    39. Mizobuchi, Kenichi & Takeuchi, Kenji, 2013. "The influences of financial and non-financial factors on energy-saving behaviour: A field experiment in Japan," Energy Policy, Elsevier, vol. 63(C), pages 775-787.
    40. Matsui, Kanae & Ochiai, Hideya & Yamagata, Yoshiki, 2014. "Feedback on electricity usage for home energy management: A social experiment in a local village of cold region," Applied Energy, Elsevier, vol. 120(C), pages 159-168.
    41. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    42. Dimitropoulos, John, 2007. "Energy productivity improvements and the rebound effect: An overview of the state of knowledge," Energy Policy, Elsevier, vol. 35(12), pages 6354-6363, December.
    43. Song, Malin & Song, Yaqing & An, Qingxian & Yu, Huayin, 2013. "Review of environmental efficiency and its influencing factors in China: 1998–2009," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 8-14.
    44. Zhou, Kaile & Yang, Shanlin, 2015. "Demand side management in China: The context of China’s power industry reform," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 954-965.
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