ELECTRICITY MARKET CLEARING PRICE FORECASTING IN A DEREGULATED MARKET
A Neural Network Approach
(Sprache: Englisch)
Electricity market clearing price (MCP) forecasting is a prediction of future electricity price based on given forecast of electricity demand, temperature, sunshine, fuel cost, precipitation and other related factors. This book presents a mid-term...
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Electricity market clearing price (MCP) forecasting is a prediction of future electricity price based on given forecast of electricity demand, temperature, sunshine, fuel cost, precipitation and other related factors. This book presents a mid-term electricity MCP forecasting technique utilizing neural network approach. Forecasting of mid-term MCP is essential for decision making, scheduling and bidding strategy planning purposes. However, forecasting mid-term electricity market clearing price is a very complex non-linear problem. Neural network based approaches can be effective forecasting tools in an environment with high degree of non-linearity and uncertainty. Two new artificial neural networks have been proposed and reported in this book that can be utilized to forecast mid-term daily peak and mid- term hourly electricity market clearing price. Two situations have been considered; market clearing price forecasting under real deregulated electric market and under deregulated electric market with perfect competition.
Bibliographische Angaben
- Autoren: Xing Yan , Nurul A. Chowdhury
- 2010, 108 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller
- ISBN-10: 3639245121
- ISBN-13: 9783639245127
Sprache:
Englisch
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