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ARMA versus AR in Short Term Load Forecast

Baharudin , Z. and Kamel , Nidal (2008) ARMA versus AR in Short Term Load Forecast. In: 2nd International Power Engineering & Optimization Conference, 4th to 5th June 2008, Shah Alam, Malaysia.

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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 comparison of autoregressive moving average (ARMA) and autoregressive (AR) Burg’s and modified covariance (MCOV) methods in solving one week ahead of short term load forecast. The methods are tested based from historical load data of New South Wales, Australia. The accuracy of discussed methods are obtained and reported.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Mission Oriented Research > Sustainable Development
ID Code:6152
Deposited By: Dr Zuhairi Baharudin
Deposited On:07 Jul 2011 07:03
Last Modified:19 Jan 2017 08:26

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