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Statistical Predictions of Electric Load Profiles in the UK Domestic Buildings
Ihbal, Abdel-Baset M.I. Rajamani, Haile S. Jalboub, Mohamed K.
Ihbal, Abdel-Baset M.I.
Rajamani, Haile S.
Jalboub, Mohamed K.
Publication Date
02/12/2010
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© 2010 IEEE. Reprinted, with permission: Ihbal, A. M., Rajamani, H. S., Abd-Alhameed, R. A. and Jalboub, M. K. (2001). 1st International Conference on Energy, Power and Control (EPC-IQ01), 30 Nov to 02 Dec 2010, Basrah, Iraq. IEEE Iraq Section. pp. 346-351. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bradford¿s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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Abstract
This paper presents a method of generating realistic electricity load profile data for the UK domestic buildings. The domestic space heating and domestic hot water have been excluded in this study. The information and results of previous investigations and works that is available in public reports and statistics have been used as input data when modeling of domestic energy consumption. A questionnaire survey was conducted to find out what occupants do in different times of the day in order to get probabilistic estimates of usage of electrical household. The daily energy demand load profile of each appliance can be predicted using this method. A measured data set is also applied for comparison, and verification. Our analysis shows that the generated load profiles have a good agreement with real data. The daily load profile from individual dwelling to community can be predicted using this method.
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Ihbal AM, Rajamani HS, Abd-Alhameed R et al (2001) 1st International Conference on Energy, Power and Control (EPC-IQ01), 30 Nov to 02 Dec 2010, Basrah, Iraq. IEEE Iraq Section. pp. 346-351.
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