Solar photovoltaic power forecasting using optimized modified extreme learning machine technique

• Published in: Engineering science and technology, an international journal Vol. 21; no. 3; pp. 428 - 438
• Main Authors: Behera, Manoja Kumar, Majumder, Irani, Nayak, Niranjan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2018; Elsevier
• Subjects: Accelerate particle swarm optimization; Craziness particle swarm optimization; Extreme learning machine; Maximum power point tracking; Particle swarm optimization; PV array; Single layer feed-forward network; PV array; Extreme learning machine; Maximum power point tracking; Craziness particle swarm optimization; Single layer feed-forward network; Particle swarm optimization; Accelerate particle swarm optimization

Prediction of photovoltaic power is a significant research area using different forecasting techniques mitigating the effects of the uncertainty of the photovoltaic generation. Increasingly high penetration level of photovoltaic (PV) generation arises in smart grid and microgrid concept. Solar sourc...