期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 19, 期 1, 页码 366-374出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2003.821470
关键词
artificial intelligence; energy price forecasting; fuzzy logic; neural networks; open access market
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据