A combined engineering and statistical model of UK domestic appliance electrical load profiles

Lim, D. and Yao, R. ORCID: https://orcid.org/0000-0003-4269-7224 (2012) A combined engineering and statistical model of UK domestic appliance electrical load profiles. In: The Western Load Research Association (WLRA) Spring 2012 Meeting and Conference, 7 – 9 March 2012, Boise, Idaho, USA.

Abstract/Summary

The development of a combined engineering and statistical Artificial Neural Network model of UK domestic appliance load profiles is presented. The model uses diary-style appliance use data and a survey questionnaire collected from 51 suburban households and 46 rural households during the summer of 2010 and2011 respectively. It also incorporates measured energy data and is sensitive to socioeconomic, physical dwelling and temperature variables. A prototype model is constructed in MATLAB using a two layer feed forward network with back propagation training which has a 12:10:24 architecture. Model outputs include appliance load profiles which can be applied to the fields of energy planning (microrenewables and smart grids), building simulation tools and energy policy.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/26725
Refereed	Yes
Divisions	Science > School of the Built Environment > Energy and Environmental Engineering group
Uncontrolled Keywords	Artificial Neural Networks, Domestic appliance energy consumption, Load modeling
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