Data Analytics in Solar Photovoltaics Power Forecasting for Smart Grid Applications

Solar energy is an endless energy, but it is variable and intermittent based on many meteorological parameters. Due to the significant growth in the penetration of Solar Photovoltaics (PV) into the smart grid, the accurate forecasting of Global Horizontal Irradiance (GHI) and PV power in time and space is very important. This paper discusses the importance of solar energy prediction and the data analysis of solar PV generation using Python. Real plant data is analyzed for 500 kW solar system installed in Xavier University Bhubaneswar (XUB), Odisha, India.