Abstract
Worldwide electricity markets (EM) have undertaken a great revolution with the emergence of the liberalized market [1]. The restructuring of the constituent sectors of EM (production, marketing, transportation and distribution) turned EM into a more competitive environment, which in turn led to increased decision-making difficulty. In order to overcome the complexity and unpredictability of this sector, simulation tools began to be a great investment area. EM simulators are tools that help clarifying the functioning of markets in order to create profiles of the participant players through the analysis, study and forecast of different scenarios [2]. The profiles of participant players allow the understanding of the type of strategies taken by them and support their decision-making processes.
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References
Meeus, L., et al.: Development of the Internal Electricity Market in Europe. The Electricity Journal 18(6), 25–35 (2005)
Pinto, T., et al.: Adaptive learning in agents behaviour: A framework for electricity markets simulation. Integrated Computer-Aided Engineering 21(4), 399–415 (2014)
Li, H., Tesfatsion, L.: Development of Open Source Software for Power Market Research: The AMES Test Bed. Journal of Energy Markets 2(2), 111–128 (2009)
Koritarov, V.: Real-World Market Representation with Agents: Modeling the Electricity Market as a Complex Adaptive System with an Agent-Based Approach. IEEE Power & Energy Magazine, 39–46 (2004)
Praça, I., et al.: MASCEM: A Multi-Agent System that Simulates Competitive Electricity Markets. IEEE Intelligent Systems 18(6), 54–60 (2003)
MIBEL data files. http://www.omie.es/aplicaciones/datosftp/datosftp.jsp?path=/ (last accessed January 2014)
Teixeira, B., et.al.: Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets. In: IA 2014 – Intelligent Agents (IA) at the IEEE SSCI 2014 (IEEE Symposium Series on Computational Intelligence), Orlando, Florida, USA, December 09–12 (2014)
Pinto, T., et al.: A new approach for multi-agent coalition formation and management in the scope of electricity markets. Energy 36(8), 5004–5015 (2011)
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Silva, F., Teixeira, B., Pinto, T., Santos, G., Praça, I., Vale, Z. (2015). Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation. In: Demazeau, Y., Decker, K., Bajo Pérez, J., de la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. PAAMS 2015. Lecture Notes in Computer Science(), vol 9086. Springer, Cham. https://doi.org/10.1007/978-3-319-18944-4_36
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DOI: https://doi.org/10.1007/978-3-319-18944-4_36
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