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Autoregressive Method in Short Term Load Forecast

Kamel , Nidal (2008) Autoregressive Method in Short Term Load Forecast. In: 2nd IEEE International Conference on Power and Energy (PECon 08), , December 1-3, Johor Baharu, 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 the methods of autoregressive (AR) Burg’s and modified covariance (MCOV) in solving a short term load forecast. The methods are tested based on 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 > Energy
ID Code:5061
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:25 Mar 2011 01:32
Last Modified:19 Jan 2017 08:26

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