Title :
Review of electric load forecasting methods
Author :
Temraz, H.K. ; Salama, M.M.A. ; Chikhani, A.Y.
Author_Institution :
Dept. of Electr. Power & Machines, Ain Shams Univ., Cairo, Egypt
Abstract :
The different available load forecasting techniques can be classified according to the type of load data pattern, into three classes: (1) stationary; (2) nonstationary; and (3) nonstationary, seasonal and cyclical techniques. The criterion is divided into three stages: (1) identification; (2) estimation; and (3) diagnostic checking. The purpose of the identification stage is to ascertain the techniques(s) that appear to hold more promise for adequately describing a given data set. The paper presents an algorithmic procedure for selecting and constructing the most appropriate electric load forecasting model. From this review, it is clear that models for the selection and construction criteria are essential for a proper forecasting model
Keywords :
load forecasting; power systems; algorithmic procedure; cyclical techniques; diagnostic checking; electric load forecasting methods; estimation; identification; load data pattern; nonstationary techniques; power systems; seasonal techniques; stationary techniques; Data engineering; Educational institutions; Fluctuations; Load forecasting; Load modeling; Military computing; Power engineering and energy; Power engineering computing; Predictive models; Weather forecasting;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.614846
