Title :
Energy price forecasting in the Ontario competitive power system market
Author :
Rodriguez, Claudia P. ; Anders, George J.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Toronto, Canada
Abstract :
This paper introduces a method for forecasting energy prices using artificial intelligence methods, such as neural networks and fuzzy logic, and a combination of the two. The new approach is compared with some of the exiting methods. Various factors affecting the market clearing price are investigated. Results for the Ontario electricity market are presented.
Keywords :
forecasting theory; fuzzy logic; learning (artificial intelligence); neural nets; power markets; power system economics; pricing; Ontario electricity market; artificial intelligence methods; energy price forecasting; fuzzy logic; generator outages; learning algorithms; market clearing price; membership functions; neural networks; neuro-fuzzy systems; open access market; power system market; soft computing techniques; spot price prediction techniques; Artificial intelligence; Artificial neural networks; Economic forecasting; Electricity supply industry; Fuzzy logic; ISO; Intelligent networks; Load forecasting; Power markets; Power systems;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2003.821470
