Metalearner based on Dynamic Neural Network for Strategic Bidding in electricity Markets

The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a...

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Bibliographic Details
Main Author: Pinto, Tiago (author)
Other Authors: Sousa, Tiago (author), Barreira, Elisa (author), Praça, Isabel (author), Vale, Zita (author)
Format: conferenceObject
Language:eng
Published: 2015
Subjects:
Adaptive Learning
Artificial Neural Network
Electricity Markets
Multi-Agent Simulation
Metalearning
Online Access:http://hdl.handle.net/10400.22/5937
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/5937

Internet

http://hdl.handle.net/10400.22/5937

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