Autoregressive method in short term load forecast

N.S., Kamel and Z., Baharudin (2008) Autoregressive method in short term load forecast. In: 2008 IEEE 2nd International Power and Energy Conference, PECon 2008, 1 December 2008 through 3 December 2008, Johor Baharu.

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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 (Paper)
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
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:377
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:09 Mar 2010 01:06
Last Modified:19 Jan 2017 08:26

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