DocumentCode :
3469511
Title :
Price forecasting in deregulated electricity markets - a bibliographical survey
Author :
Daneshi, H. ; Daneshi, A.
Author_Institution :
LCG Consulting Eng., Los Altos, CA
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
657
Lastpage :
661
Abstract :
In electricity markets, short-term price forecasting plays a vital role in the daily scheduling of generating assets and the estimation of market competitors´ payoff. The volatility of electricity market and its uncertain behavior in constrained networks could make it cumbersome to forecast the hourly price of electricity based on conventional methods. This paper gives a bibliographical survey, a brief review and general background of different approaches and developments in the field of price forecasting. We provide an overview of published literature on this topic, highlighting common futures and drawing out some important aspects of the methodology used.
Keywords :
load forecasting; power generation economics; power generation scheduling; power markets; pricing; electricity market deregulation; generating asset scheduling; price forecasting; Costs; Economic forecasting; Electricity supply industry; Electricity supply industry deregulation; Load forecasting; Power generation; Power system modeling; Power system simulation; Power systems; Predictive models; artificial neural network; electricity price forecasting; fuzzy logic; intelligent systems; load forecasting; regression method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523487
Filename :
4523487
Link To Document :
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