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Communication Dans Un Congrès Année : 2018

A Cooperative Multi-Agent System for Wind Power Forecasting

Résumé

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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Dates et versions

hal-02279380 , version 1 (05-09-2019)

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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, ⟨10.1007/978-3-319-94580-4_12⟩. ⟨hal-02279380⟩
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