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

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032115013817
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2015.12.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    15. 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.
    16. 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.
    17. 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.
    18. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    19. 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.
    20. 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.
    21. 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.
    22. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    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. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nieves García-de-Frutos & José Manuel Ortega-Egea & Javier Martínez-del-Río, 2018. "Anti-consumption for Environmental Sustainability: Conceptualization, Review, and Multilevel Research Directions," Journal of Business Ethics, Springer, vol. 148(2), pages 411-435, March.
    2. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
    3. Véronique Vasseur & Anne-Francoise Marique & Vladimir Udalov, 2019. "A Conceptual Framework to Understand Households’ Energy Consumption," Energies, MDPI, vol. 12(22), pages 1-22, November.
    4. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    5. WeiYu Ji & Edwin H. W. Chan, 2019. "Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study," Energies, MDPI, vol. 12(21), pages 1-24, November.
    6. 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.
    7. 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.
    8. 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.
    9. Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Energy Policy, Elsevier, vol. 108(C), pages 593-605.
    10. Jin Zhang & Lianrui Ma & Jinkai Li, 2021. "Why Low-Carbon Publicity Effect Limits? The Role of Heterogeneous Intention in Reducing Household Energy Consumption," Energies, MDPI, vol. 14(22), pages 1-17, November.
    11. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    12. Zhou, Kaile & Fu, Chao & Yang, Shanlin, 2016. "Big data driven smart energy management: From big data to big insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 215-225.
    13. 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.
    14. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project," Energies, MDPI, vol. 14(12), pages 1-26, June.
    15. 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.
    16. 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.
    17. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    18. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
    19. 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.
    20. Spandagos, Constantine & Baark, Erik & Ng, Tze Ling & Yarime, Masaru, 2021. "Social influence and economic intervention policies to save energy at home: Critical questions for the new decade and evidence from air-condition use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:56:y:2016:i:c:p:810-819. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.