Forecasting Electricity Prices with Historical Statistical Information using Neural Networks and Clustering Techniques

Factors such as uncertainty associated to fuel prices, energy demand and generation availability, are on the basis of the agents major concerns in electricity markets. Facing that reality, price forecasting has an increasing impact in agents’ activity. The success on bidding strategies or on price n...

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Bibliographic Details
Main Author: Azevedo, Filipe (author)
Other Authors: Vale, Zita (author)
Format: conferenceObject
Language:eng
Published: 2006
Subjects:
Artificial neural networks
Clustering
Electricity markets
Price forecasting
Risk management
Volatility
Online Access:http://hdl.handle.net/10400.22/9366
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/9366

Internet

http://hdl.handle.net/10400.22/9366

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