Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages...

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Detalhes bibliográficos
Autor principal: Teixeira, Brígida (author)
Outros Autores: Silva, Francisco (author), Pinto, Tiago (author), Praça, Isabel (author), Santos, Gabriel (author), Vale, Zita (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2015
Assuntos:
Data-Mining
Electricity Markets
Knowledge Discovery in Databases
Machine Learning
Multi-Agent Simulation
Scenarios Generation
Texto completo:http://hdl.handle.net/10400.22/5962
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/5962

Texto Completo

http://hdl.handle.net/10400.22/5962

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