Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5903
Título: Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets
Autor: Pinto, Tiago
Praça, Isabel
Santos, Gabriel
Vale, Zita
Palavras-chave: Electricity markets
Adaptive learning
Multi-agent simulation
Data: 2013
Editora: Springer
Relatório da Série N.º: Lecture Notes in Computer Science;Vol. 7879
Resumo: Electricity markets are complex environments with very particular characteristics. A critical issue concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, performed so that the competitiveness could be increased, but with exponential implications in the increase of the complexity and unpredictability in those markets’ scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behavior. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This paper presents the Multi-Agent System for Competitive Electricity Markets (MASCEM) – a simulator based on multi-agent technology that provides a realistic platform to simulate electricity markets, the numerous negotiation opportunities and the participating entities.
Peer review: yes
URI: http://hdl.handle.net/10400.22/5903
DOI: 10.1007/978-3-642-38073-0_36
ISBN: 978-3-642-38072-3
Versão do Editor: http://link.springer.com/chapter/10.1007/978-3-642-38073-0_36
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