Title :
Statistical predictions of electric load profiles in the UK domestic buildings
Author :
Ihbal, A.M. ; Rajamani, H.S. ; Abd-Alhameed, R.A. ; Jalboub, M.K.
Author_Institution :
Sch. of Eng., Design & Technol. Univ. of Bradford, Bradford, UK
fDate :
Nov. 30 2010-Dec. 2 2010
Abstract :
This paper presents a method of generating realistic electricity load profile data for the UK domestic buildings. The domestic space features have been investigated excluding the heating and hot water systems. A questionnaire survey was conducted and the feedback were collected from a number of occupants at different intervals of times on daily bases in order to establish the probabilistic record of the estimated use of electrical appliances. The model concept of this study also considers the results of previous investigations such as that available in public reports and statistics as input data elements to predict the global domestic energy consumption. In addition, the daily load profile from individual dwelling to community can be predicted using this method. The result of the present method was compared to available published data and has shown reasonable agreement.
Keywords :
domestic appliances; load forecasting; statistical analysis; domestic buildings; domestic space; electric load profiles; electrical appliances; global domestic energy consumption; hot water systems; probabilistic record; Electricity; Energy consumption; Home appliances; Lighting; Load modeling; Space heating; Water heating; Electrical Appliances; Electrical Load Profiles; Energy; Energy Consumption;
Conference_Titel :
Energy, Power and Control (EPC-IQ), 2010 1st International Conference on
Conference_Location :
Basrah
Electronic_ISBN :
978-0-9568330-0-6