A Data-Driven Machine Learning Approach to Solar Energy Generation Forecasting Using Meteorological Variables
The production of solar power is highly dependent on weather conditions, including temperature, humidity, wind velocity, wind direction, cloud coverage, and solar radiation. These relations must be well understood to develop photovoltaic systems with high efficiency and reliability. A solar power prediction model is pr...