Baharudin, Z. and Kamel, N. (2008) Autoregressive method in short term load forecast. In: UNSPECIFIED.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
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. © 2008 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 18; Conference of 2008 IEEE 2nd International Power and Energy Conference, PECon 2008 ; Conference Date: 1 December 2008 Through 3 December 2008; Conference Code:75682 |
Uncontrolled Keywords: | Backpropagation; Electric power systems, ANN; Autoregressive (AR); Autoregressive moving average (ARMA); Burg; Durbin; MAPE; MCOV; Short term load forecasting (STLF), Electric load forecasting |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:16 |
Last Modified: | 09 Nov 2023 15:16 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/384 |