Energy price forecasting in the Ontario competitive power system market

被引：212

作者：

Rodriguez, CP ^{[1
]}

Anders, GJ

机构：

[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada

[2] Kinectrics, Toronto, ON M8Z 6C4, Canada

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2004年 / 19卷 / 01期

关键词：

artificial intelligence; energy price forecasting; fuzzy logic; neural networks; open access market;

D O I：

10.1109/TPWRS.2003.821470

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：366 / 374

页数：9

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