Predicting residential electricity consumption patterns based on smart meter and household data: A case study from the Republic of Ireland

• DOI: 10.1016/j.jup.2022.101446
• Publication Date: 2022-11-03T18:54:32Z
• Authors: Zhifeng Guo; Jesse R. O'Hanley; Stuart Gibson
• Keywords: Consumption; Smart meter; Household income; Electricity demand

We use machine learning algorithms to investigate various aspects of residential electricity consumption for households in the Republic Ireland. Temperature, day week, and month year have an apparent causal effect on consumption. The prevalence six distinct intra-day load profiles, identified by clustering, changes dramatically between weekdays weekends as well seasonally. Key socio-demographic dwelling characteristics associated with annual profiles include household makeup size occupation primary income earner. further discuss policy management implications our findings propose avenues future research.