DocumentCode
3045234
Title
ANN-based short-term load forecasting in electricity markets
Author
Chen, Hong ; Cañizares, Claudio A. ; Singh, Ajit
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
2
fYear
2001
fDate
2001
Firstpage
411
Abstract
This paper proposes an artificial neural network (ANN)-based short-term load forecasting technique that considers electricity price as one of the main characteristics of the system load, demonstrating the importance of considering pricing when predicting loading in today´s electricity markets. Historical load data from the Ontario Hydro system as well as pricing information from the neighboring system are used for testing, showing the good performance of the proposed method
Keywords
electricity supply industry; load forecasting; neural nets; power system analysis computing; power system economics; tariffs; Canada; artificial neural network; electricity markets; electricity price; pricing; short-term load forecasting; Artificial neural networks; Economic forecasting; Electricity supply industry; Feedforward systems; Job shop scheduling; Load forecasting; Power markets; Pricing; System testing; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Winter Meeting, 2001. IEEE
Conference_Location
Columbus, OH
Print_ISBN
0-7803-6672-7
Type
conf
DOI
10.1109/PESW.2001.916876
Filename
916876
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