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SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE

Kamel , Nidal (2007) SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE. International Conference on Intelligent and Advanced Systems 2007 . pp. 912-916.

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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 Malaysia Grid system. 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:Research Institutes > Institute for Health Analytics
ID Code:5491
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:25 Apr 2011 06:53
Last Modified:19 Jan 2017 08:26

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