Forecast of Power Generation for Grid-Connected Photovoltaic System Based on Knowledge Representation of Rough Sets

A grid-connected PV system characteristics and operation laws has been analysis, which is based on the 5.6kW grid-connected PV system in Beijing Institute of Architectural Engineering. Considering the environmental factors, the forecasting model of grid-connected PV system based on rough set theory was established. Compared the forecasting result with acture operation results of the weekly, monthly, seasonal and annual generation, it shows that former is more correct and accuracy. So the research proved that the forecasting model of rough set is practical.