Abstract
In the coming years, ensuring the electricity supply will be one of the most important world challenges. Renewable energies, in particular wind energy, are an alternative to non-sustainable resources thanks to their almost unlimited supply. However, the chaotic nature and the variability of the wind represent a significant barrier to a large-scale development of this energy. Consequently, providing accurate wind power forecasts is a crucial challenge. This paper presents AMAWind, a multi-agent system dedicated to wind power forecasting based on a cooperative approach. Each agent corresponds to a turbine at a given hour, it starts from an initial production forecast and acts in a cooperative way with its neighbors to find an equilibrium on conflicting values. An assessment of this approach was carried out on data coming from a real wind farm.
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Acknowledgements
This work is part of the research project Meteo*Swift funded by the ERDF (European Regional Development Fund) of the European Union and the French Occitanie Region and supported by the ANRT (French National Association for Research and Technology). We would also like to thank the CNRM (French Weather Research Centre), our partner in this project.
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Esteoule, T., Perles, A., Bernon, C., Gleizes, MP., Barthod, M. (2018). A Cooperative Multi-Agent System for Wind Power Forecasting. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_12
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