DISAGREGATED CONSUMPTION INFORMATION AND THE NEIGHBOR CONSUMPTION INDEX IN HOUSEHOLD ELECTRICITY USE
DOI:
https://doi.org/10.18623/rvd.v23.n4.4462Keywords:
Disaggregation, Consumer Behavior, Household Electricity Consumption, Neighbor ClustersAbstract
Enhancing the efficiency of electricity consumption is an important step in mitigating environmental degradation, as the reliance on fossil fuels in energy production remains one of the primary contributors to carbon emissions and ecological harm. The objective of this study was to develop the Neighbor Consumption Index (NCI), a tool designed to explore differences in household electricity usage and to compare two groups of households with and without access to a service providing detailed information about electricity consumption. The central motivation of our research lies in comparing electricity consumption among geographically proximate households with similar usage patterns. We applied K-means clustering to group households and statistical tests to examine differences in consumption between households with and without access to disaggregation technology. The NCI was then calculated as a relative measure with the potential to provide households with a benchmark relative to their neighbors, thereby supporting reflection on their own consumption behavior. For the empirical analysis, we utilized data processed by the software company Bidgely.
References
Alberini, A., Khymych, O., & Ščasný, M. (2020). Responsiveness to energy price changes when salience is high: Residential natural gas demand in Ukraine. Energy Policy, 144, 111534. https://doi.org/10.1016/j.enpol.2020.111534
Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9–10), 1082–1095. https://doi.org/10.1016/j.jpubeco.2011.03.003
Allcott, H., & Kessler, J. B. (2019). The welfare effects of nudges: A case study of energy use social comparisons. American Economic Journal: Applied Economics, 11(1), 236–276. https://doi.org/10.1257/app.20170328
Allcott, H., & Rogers, T. (2014). The short-run and long-run effects of behavioral interventions. American Economic Review, 104(10), 3003–3037.
Andor, M. A., Gerster, A., Peters, J., & Schmidt, C. M. (2020). Social norms and energy conservation beyond the US. Journal of Environmental Economics and Management, 103, 102351. https://doi.org/10.1016/j.jeem.2020.102351
Andor, M. A., Gerster, A., Peters, J., & Schmidt, C. M. (2020). Social norms and energy conservation beyond the US. Journal of Environmental Economics and Management, 103, 102351. https://doi.org/10.1016/j.jeem.2020.102351
Agarwal, R., Garg, M., Tejaswini, D., Garg, V., Srivastava, P., Mathur, J., & Gupta, R. (2023). A review of residential energy feedback studies. Energy and Buildings, 290, 113071. https://doi.org/10.1016/j.enbuild.2023.113071
Buckley, P. (2019). Household electricity consumption behaviour: A meta-analysis and experimental approaches (Doctoral dissertation). Université Grenoble Alpes.
Buchanan, K., Russo, R., & Anderson, B. (2015). The question of energy reduction: The problem(s) with feedback. Energy Policy, 77, 89–96. https://doi.org/10.1016/j.enpol.2014.12.008
Davis, A. L., Krishnamurti, T., Fischhoff, B., & Bruine de Bruin, W. (2013). Setting a standard for electricity pilot studies. Energy Policy, 62, 401–409. https://doi.org/10.1016/j.enpol.2013.07.093
Delmas, M. A., Fischlein, M., & Asensio, O. I. (2013). Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012. Energy Policy, 61, 729–739. https://doi.org/10.1016/j.enpol.2013.05.109
DellaVigna, S. (2009). Psychology and economics: Evidence from the field. Journal of Economic Literature, 47(2), 315–372. https://doi.org/10.1257/jel.47.2.315
Fay, M. P., & Proschan, M. A. (2010). Wilcoxon–Mann–Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Statistical Surveys, 4, 1–39. https://doi.org/10.1214/09-SS051
Ferraro, P. J., & Price, M. K. (2013). Using nonpecuniary strategies to influence behavior. Review of Economics and Statistics, 95(1), 64–73.
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. https://doi.org/10.1177/001872675400700202
Gerber, A. S., & Rogers, T. (2009). Descriptive social norms and motivation to vote. Journal of Politics, 71(1), 178–191. https://doi.org/10.1017/S0022381608090117
Gerster, A., Andor, M. A., & Goette, L. (2025). Disaggregate consumption feedback. The Economic Journal. Advance online publication. https://doi.org/10.1093/ej/ueaf084
Gillingham, K., & Palmer, K. (2014). Bridging the energy efficiency gap: Policy insights from economic theory and empirical evidence. Review of Environmental Economics and Policy, 8(1), 18–38. https://doi.org/10.1093/reep/ret021
Gillingham, K., Kotchen, M. J., Rapson, D. S., & Wagner, G. (2013). The rebound effect is overplayed. Nature, 493, 475–476. https://doi.org/10.1038/493475a
Goethals, G. R., & Darley, J. M. (1977). Social comparison theory: An attributional approach. In J. M. Suls & R. L. Miller (Eds.), Social comparison processes: Theoretical and empirical perspectives (pp. 43–68). Hemisphere.
Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008). A room with a viewpoint. Journal of Consumer Research, 35(3), 472–482. https://doi.org/10.1086/586910
Herrmann, M. R., Costanza, E., Brumby, D. P., & O’Neill, J. (2021). Exploring domestic energy consumption feedback through interactive annotation. Energy Efficiency, 14, Article 90. https://doi.org/10.1007/s12053-021-09999-0
Himeur, Y., Ghanem, K., Alsalemi, A., & Amira, F. B. A. (2021). Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives. Applied Energy, 287, 116601. https://doi.org/10.1016/j.apenergy.2021.116601
Ito, K. (2014). Do consumers respond to marginal or average price? Evidence from nonlinear electricity pricing. American Economic Review, 104(2), 537–563. https://doi.org/10.1257/aer.104.2.537
Jessoe, K., & Rapson, D. (2014). Knowledge is (less) power. American Economic Review, 104(4), 1417–1438.
Karlin, B., Zinger, J. F., & Ford, R. (2015). The effects of feedback on energy conservation: A meta-analysis. Psychological Bulletin, 141(6), 1205–1227. https://doi.org/10.1037/a0039650
Kelly, J., & Knottenbelt, W. (2015). The UK-DALE dataset: Domestic appliance-level electricity demand and whole-house demand from five UK homes. Scientific Data, 2, 150007. https://doi.org/10.1038/sdata.2015.7
Li, Z., & Cao, X. (2021). Analysis of information feedback on residential energy conservation and the implications: The case of China. Frontiers in Environmental Science, 9, 626890. https://doi.org/10.3389/fenvs.2021.626890
Mi, L., Gan, X., Sun, Y., Qiao, T. L. L., & Xu, T. (2021). Effects of monetary and nonmonetary interventions on energy conservation: A meta-analysis of experimental studies. Renewable and Sustainable Energy Reviews, 149, 111342. https://doi.org/10.1016/j.rser.2021.111342
Mundaca, L., Ürge-Vorsatz, D., & Wilson, C. (2019). Demand-side approaches for limiting global warming to 1.5 °C. Energy Efficiency, 12, 343–362. https://doi.org/10.1007/s12053-018-9722-9
Prasanna, A., et al. (2018). Recent experiences with tariffs for saving electricity in households. Energy Policy, 115, 514–522. https://doi.org/10.1016/j.enpol.2018.01.044
Ruxton, G. D. (2006). The unequal variance t-test is an underused alternative to Student’s t-test and the Mann–Whitney U test. Behavioral Ecology, 17(4), 688–690. https://doi.org/10.1093/beheco/ark016
Schleich, J., Schuler, J., Pfaff, M., & Frank, R. (2023). Do green electricity tariffs increase household electricity consumption? Applied Economics, 55(20), 2337–2348. https://doi.org/10.1080/00036846.2022.2102574
Schrammel, J., Diamond, L. M., Fröhlich, P., et al. (2023). Influencing residential electricity consumption with tailored messages: Long-term usage patterns and effects on user experience. Energy, Sustainability and Society, 13, 15. https://doi.org/10.1186/s13705-023-00386-4
Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2007). The constructive, destructive, and reconstructive power of social norms. Psychological Science, 18(5), 429–434. https://doi.org/10.1111/j.1467-9280.2007.01917.x
Schultz, W., Shahram, J., & Sorokina, A. (2019). Social comparison as a tool to promote residential water conservation. Frontiers in Water, 1. https://doi.org/10.3389/frwa.2019.00002
Sintov, N. D., & Schultz, P. W. (2015). Unlocking the potential of smart grid technologies with behavioral science. Frontiers in Psychology, 6, 410. https://doi.org/10.3389/fpsyg.2015.00410
Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., & Staake, T. (2016). Overcoming salience bias: How real-time feedback fosters resource conservation. Management Science, 64(3), 1458–1476. https://doi.org/10.1287/mnsc.2016.2646
Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., & Staake, T. (2016). Overcoming salience bias: How real-time feedback fosters resource conservation. Management Science, 64(3), 1458–1476. https://doi.org/10.1287/mnsc.2016.2646
Webb, T. L., Benn, Y., Chang, B. P. I., & Thomas, L. (2014). Antecedents and consequences of monitoring domestic electricity consumption. Journal of Environmental Psychology, 40, 228–238. https://doi.org/10.1016/j.jenvp.2014.07.001
Welch, B. L. (1951). On the comparison of several mean values: An alternative approach. Biometrika, 38(3), 330–336. https://doi.org/10.2307/2332579
Wolske, K. S., Gillingham, K. T., & Schultz, P. W. (2020). Peer influence on household energy behaviours. Nature Energy, 5, 202–212. https://doi.org/10.1038/s41560-019-0541-
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