A Power Prediction Method for Photovoltaic Power Station Based on Neutral Network Using Numerical Weather Information

• DOI: 10.4028/www.scientific.net/amr.724-725.3
• Publication Date: 2013-08-16T07:48:02Z
• Authors: Hong Lu Zhu; Jian Xi Yao
• Keywords: Solar Power

As the installed capacity of photovoltaic power station is growing, prediction techonology great important to reduce random damage system. A model using neural network proposed in paper, solar radiation adopt ensure accuracy results clear sky contions.Through analysis output influence factors, intensity, humidity and temperature are chosen as input model.At same time, order improve model, numerical weather forecast information. And tested by historical operation data, short-term has a good performance.