About this document
AI Techniques for Solar Energy Forecasting by Manju Indu is a document available to read on EtoBox.
The document discusses the use of Machine Learning, particularly Random Forest algorithms, for long-term solar energy forecasting to optimize photovoltaic (PV) systems and enhance energy management. It reviews existing literature on AI applications in solar energy, highlighting the need for improved prediction accuracy and real-time data integration. The objectives include developing a reliable forecasting model and analyzing historical data to identify key factors influencing solar energy production.
- Author
- Manju Indu
- Language
- EN