Research On Short-term Photovoltaic Power Generation Forecasting Model Based On Multi-strategy Improved Squirrel Search Algorithm And Support Vector Machine

This article discusses the importance of accurately predicting the power generation of photovoltaic power stations and the different methods used for forecasting. The indirect method relies on weather data and detailed design information, while the direct method includes statistical and artificial intelligence approaches. The direct method is more accurate but requires a large amount of historical data for training.