Forecasting rooftop photovoltaic solar power using machine learning techniques

Solar power plants offer a healthy substitute for traditional thermal power plants. However, the management and quality of power in the current energy grids are threatened by the environmental effects of relying too much on solar power. Accurate solar power prediction is essential for designing and managing solar power plants. The distribution grid runs more smoothly due to improved solar power forecasting, which assures accurate solar power generation forecasts. Artificial intelligence (AI) based algorithms are becoming increasingly well-liked and successful at estimating solar power forecasts. Utilizing a machine learning (ML) model to explore solar power in KSA (Kingdom of Saudi Arabia) is limited, despite…

• KS
  King Saud University