Forecasting Models of Daily Energy Generation by PV Panels Using Fuzzy Logic

This paper contains studies of daily energy production forecasting methods for photovoltaic solar panels (PV panel) by using mathematical and fuzzy logic models. Mathematical models are based on analytic equations that bind PV panel power with temperature radiation. In logic, we use Adaptive-network-based Fuzzy Inference Systems (ANFIS) the zero-order Takagi-Sugeno model (TS) specially selected linear non-linear membership functions. The mentioned functions causes TS system is equivalent to a polynomial its properties can be compared other analytical found in literature. developed data from real system. accuracy prognostic compared, prototype software implementing best-performing presented. written generic programmable controller (PLC) compliant IEC 61131-3 standard.