Forecasting loads and prices in competitive power markets

被引：290

作者：

Bunn, DW ^{[1
]}

机构：

[1] London Business Sch, London NW1 4SA, England

来源：

PROCEEDINGS OF THE IEEE | 2000年 / 88卷 / 02期

关键词：

agent based simulation; electricity load forecasting; neural networks;

D O I：

10.1109/5.823996

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 provides a review of some of the main methodological issues and techniques which have become innovative in addressing the problem of forecasting daily loads and prices in the new competitive power markets. Particular, emphasis is placed upon computationally intensive methods, including variable segmentation, multiple modeling, combinations, and neural networks for forecasting the demand side, and strategic simulation using artificial agents for the supply side.

引用

页码：163 / 169

页数：7

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