Short term load forecast using burg autoregressive technique

Z., Baharudin and N.S., Kamel (2007) Short term load forecast using burg autoregressive technique. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur.

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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 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 Malaysia Grid system. 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. ©2007 IEEE.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Electric power systems; Forecasting; Autoregressive (AR); Autoregressive moving average (ARMA); Burg; MAPE; Short term load forecasting (STLF); Electric load forecasting
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Dr Zuhairi Baharudin
Date Deposited: 09 Mar 2010 02:01
Last Modified: 19 Jan 2017 08:27

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