Wind power short-term prediction by a hybrid PSO-ANFIS approach

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. A novel hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, is proposed in this paper for short-term wind power prediction. Results from a real-world case study are presented. Conclusions are duly drawn.