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Statistical Predictions of Electric Load Profiles in the UK Domestic Buildings

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Abstract

This paper presents a method of generating realisticelectricity load profile data for the UK domestic buildings. Thedomestic space features have been investigated excluding theheating and hot water systems. A questionnaire survey wasconducted and the feedback were collected from a number ofoccupants at different intervals of times on daily bases in orderto establish the probabilistic record of the estimated use ofelectrical appliances. The model concept of this study alsoconsiders the results of previous investigations such as thatavailable in public reports and statistics as input data elementsto predict the global domestic energy consumption. In addition,the daily load profile from individual dwelling to community canbe predicted using this method. The result of the present methodwas compared to available published data and has shownreasonable agreement.

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2011 (1)