Baharudin, Z. and Kamel, N. (2007) One week ahead short term load forecasting. In: UNSPECIFIED.
Full text not available from this repository.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 National Grid of Malaysia and load demand in New South Wales, Australia. 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: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 5; Conference of 7th IASTED International Conference on Power and Energy Systems ; Conference Date: 29 August 2007 Through 31 August 2007; Conference Code:74036 |
Uncontrolled Keywords: | Electric power systems; Forecasting, Autoregressive (AR); Autoregressive moving average (ARMA); Burg; Durbin; MAPE; Short term load forecasting (STLF), Electric load forecasting |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:15 |
Last Modified: | 09 Nov 2023 15:15 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/201 |