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A Cooperative Multi-Agent System for Wind Power Forecasting

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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Submitted on : Thursday, September 5, 2019 - 11:36:16 AM
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  • HAL Id : hal-02279380, version 1
  • OATAO : 22476


Tanguy Esteoule, Alexandre Perles, Carole Bernon, Marie-Pierre Gleizes, Morgane Barthod. A Cooperative Multi-Agent System for Wind Power Forecasting. International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2018), Jun 2018, Toledo, Spain. pp.152-163. ⟨hal-02279380⟩



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