Short-Term Solar Power Forecasting Using the Adaptive Network-Based Fuzzy Inference System

This paper proposes an adaptive network-based fuzzy inference system (ANFIS) based forecasting method for short-term solar power forecasting. An accurate forecasting method for power generation of the photovoltaic (PV) system is urgent needed under the relevant issues associated with the high penetration of solar power in the electricity system. To demonstrate the effectiveness of the proposed method, the method is tested on the practical information of solar power generation of a PV system installed on the St. John's University of Taiwan. Good agreements between the realistic values and forecasting values are obtained; the test results show the proposed forecasting method is accurate.