A Cooperative Multi-Agent System for Wind Power Forecasting

被引:2
|
作者
Esteoule, Tanguy [1 ,2 ]
Perles, Alexandre [1 ]
Bernon, Carole [1 ]
Gleizes, Marie-Pierre [1 ]
Barthod, Morgane [2 ]
机构
[1] Univ Toulouse, IRIT, Toulouse, France
[2] Meteo Swift, Toulouse, France
关键词
Multi-Agent System; Cooperation; Wind energy; Forecasting; SPEED;
D O I
10.1007/978-3-319-94580-4_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:152 / 163
页数:12
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