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One Week Ahead Short Term Load Forecasting

Kamel , Nidal (2007) One Week Ahead Short Term Load Forecasting. The Seventh IASTED European Conference on Power and Energy Systems (EuroPES 2007) .

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Abstract

Short-term load forecasting plays an important role in planning and operation of power system. The accuracy of this forecasted value is necessary for economically efficient operation and also for effective control. This paper describes a method of autoregressive Burg in solving one week ahead of short term load forecasting. The proposed method is tested based from historical load data of National Grid of Malaysia and load demand in New South Wales, Australia. The accuracy of proposed method, i.e., the forecast error, which is the difference between the forecast value and actual value of the load, is obtained and reported.

Item Type:Article
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:5490
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:25 Apr 2011 06:42
Last Modified:19 Jan 2017 08:26

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