The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Understanding household energy consumption behavior: The contribution of energy big data analytics
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Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.
Locke, E. A., & Latham, G. P. (2002) · American Psychologist · doi:10.1037/0003-066x.57.9.705 · Cited by 7,766
Kluger, A. N., & DeNisi, A. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.254 · Cited by 5,882
Encouraging pro-environmental behaviour: An integrative review and research agenda
Steg, L., & Vlek, C. (2009) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2008.10.004 · Cited by 5,089
Bamberg, S., & Möser, G. (2007) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2006.12.002 · Cited by 4,140
Demand side management: benefits and challenges
Strbac, G. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.09.030 · Cited by 1,702
Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions
Dietz, T., Gardner, G. T., Gilligan, J., Stern, P. C., & Vandenbergh, M. P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908738106 · Cited by 1,450
Madden, S. (2012) · IEEE Internet Computing · doi:10.1109/mic.2012.50 · Cited by 509
What Is Social Informatics and Why Does It Matter?
Kling, R. (2007) · The Information Society · doi:10.1080/01972240701441556 · Cited by 286
A review of electric load classification in smart grid environment
Zhou, K.-L., Yang, S.-L., & Shen, C. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.03.023 · Cited by 254
Self-citation
Cited by
Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan
Ali, S., Ullah, H., Akbar, M., Akhtar, W., & Zahid, H. (2019) · Sustainability · doi:10.3390/su11051462 · Cited by 139
Liaqat, R., Sajjad, I. A., Waseem, M., & Alhelou, H. H. (2021) · IEEE Access · doi:10.1109/access.2021.3123196 · Cited by 39
Metadata
- Authors
- Zhou, K., & Yang, S.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 56
- Pages
- 810-819
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2210858887
- Cited by
- 398
- References
- 10
- FWCI
- 67.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Zhou, K., & Yang, S. (2016). Understanding household energy consumption behavior: The contribution of energy big data analytics. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2015.12.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
