On the energy demands of small appliances in homes

Sancho Tomas, Ana; Sumner, Mark; Lamparter, S.; Robinson, Darren

Abstract

Understanding the use of electrical appliances in households is crucial for improving the accuracy of electricity and energy loads forecasts. In particular, bottom-up techniques provide a powerful tool, not only for predicting demands considering socio-demographic characteristics of the occupants, but also to better resolve and implement demand side management strategies in homes.
With this purpose, a study of the temporal energy use of low-load appliances (meaning those whose annual energy share is individually negligible but relevant when considered as a group) has been carried out, with the longer term objective of finding a parsimonious approach to modelling them, and which considers an appropriate aggregation of appliances. In this work, a discrete-time stochastic process has been implemented for a specific classification of low-load appliances. More precisely, a time-inhomogeneous Markov chain has been used to model energy variations over time for four different categories of appliances and its prediction capabilities have been tested and compared.

Citation

Sancho Tomas, A., Sumner, M., Lamparter, S., & Robinson, D. (2015). On the energy demands of small appliances in homes. Energy Procedia, 78, https://doi.org/10.1016/j.egypro.2015.11.755

• Journal Article Type: Article
• Acceptance Date: Sep 1, 2015
• Publication Date: Nov 1, 2015
• Deposit Date: Jul 8, 2016
• Publicly Available Date: Jul 8, 2016
• Journal: Energy Procedia
• Print ISSN: 1876-6102
• Electronic ISSN: 1876-6102
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 78
• DOI: https://doi.org/10.1016/j.egypro.2015.11.755
• Public URL: https://nottingham-repository.worktribe.com/output/762590
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S187661021502487X
• Contract Date: Jul 8, 2016