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A.R. Modified Covariance In One Week Ahead Short Term Load Forecast

Baharudin, Zuhairi and Kamel , Nidal (2008) A.R. Modified Covariance In One Week Ahead Short Term Load Forecast. In: The Second IASTED Asian Conference on Power and Energy Systems, April 2 – 4, 2008, Langkawi, 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 method of autoregressive (AR) modified covariance (MCOV) in solving one week ahead of short term load forecasting. The proposed method is tested based from historical load data of Malaysia and New South Wales, Australia. The accuracy of proposed method is obtained and reported.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:4362
Deposited By: Dr Zuhairi Baharudin
Deposited On:16 Feb 2011 09:48
Last Modified:19 Jan 2017 08:26

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