An ANN-based Approach for Forecasting the Power Output of Photovoltaic System

• DOI: 10.1016/j.proenv.2011.12.196
• Publication Date: 2012-01-09T10:24:06Z
• Authors: Ming Ding; Lei Wang; Rui Bi
• Keywords: Backpropagation

With the increasing use of large-scale grid-connected photovoltaic system, accurate forecast approach for power output system has become an important issue. In order to a at 24-hour-ahead without any complex modeling and complicated calculation, artificial neural network based is proposed in this paper. The improved back-propagation learning algorithm adopted overcome shortcomings standard algorithm. Similar day selection on information improve accuracy different weather types. Forecasting results show that great efficiency forecasting system.