DocumentCode
1302093
Title
Forecasting loads and prices in competitive power markets
Author
Bunn, Derek W.
Author_Institution
London Bus. Sch., UK
Volume
88
Issue
2
fYear
2000
Firstpage
163
Lastpage
169
Abstract
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.
Keywords
costing; electricity supply industry; load forecasting; neural nets; power system analysis computing; agent based simulation; artificial agents; combinations; competitive power markets; computationally intensive methods; daily loads forecasting; demand side forecasting; multiple modeling; neural networks; prices forecasting; strategic simulation; supply side; variable segmentation; Computational modeling; Costs; Demand forecasting; Economic forecasting; Load forecasting; Monopoly; Power markets; Predictive models; Uncertainty; Weather forecasting;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.823996
Filename
823996
Link To Document