Seasonal variation in household electricity demand: A comparison of monitored and synthetic daily load profiles

Abstract This paper examines seasonal variation in household electricity demand through analysis of two sets of half-hourly electricity demand data: a monitored dataset gathered from 58 English households between July and December 2011; and a synthetic dataset generated using a time-of-use-based load modelling tool. Analysis of variance (ANOVA) tests were used to identify statistically significant between-months differences in four metrics describing the shape of household-level daily load profiles: mean electrical load; peak load; load factor; and timing of peak load. For the monitored dataset, all four metrics exhibited significant monthly variation. With the exception of peak load time, significant between-months differences were also present for all metrics calculated for the synthetic dataset. However, monthly variability was generally under-represented in the synthetic data, and the predicted between-months differences in load factors and peak load timing were inconsistent with those exhibited by the monitored data. The study demonstrates that the shapes of household daily electrical load profiles can vary significantly between months, and that limited treatment of seasonal variation in load modelling can lead to inaccurate predictions of its effects

The DEFACTO Field Trial: Methodology and Data Sets

The DEFACTO Field Trial was undertaken as part of a 6-year EPSRC-funded research project (grant EP/K00249X/1) from 1 November 2012 to 31 October 2018, aimed at measuring the energy saving capability of so-called ‘smart’ heating controls when used with gas-fired, low-pressure hot water central heating systems. This report describes the conduct of the field trial, the methodology adopted for its execution, the data that were collected and the cleaning of those data. Materials used in the field trial are presented in Appendix A (Pilot Study) and Appendix B (Main Study) to this report