%P 204-209
%C Langkawi
%T AR modified covariance in one week ahead short term load forecast
%A Z. Baharudin
%A N. Kamel
%D 2008
%O cited By 1; Conference of 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 ; Conference Date: 2 April 2008 Through 4 April 2008; Conference Code:75519
%L scholars403
%J Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
%K Autoregressive (AR); Autoregressive moving average (ARMA); Durbin; MAPE; MCOV; Short term load forecasting (STLF), Argon; Electric power systems, Electric load forecasting
%X 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.