Solar Irradiance Forecasting Using an Artificial Intelligence Model

The paper presents the solar energy prediction using ANN in order to effectively predict solar irradiance. With increasing interest in the scope for renewable energy, many countries are adopting new technologies of solar photovoltaic which has higher solar resource potential. If in advance of 24 hours, solar irradiance can be predicted, then it would help us immensely to optimize the energy production efficiency. Traditional methods which were used involved empirical, analytical, and physics-based models, statistical forecasting of solar data, and numerical methods to effectively predict the amount of solar irradiation. With the increasing use of Machine Learning better predictive models are being developed which help us to forecast better thereby reducing the error and increasing the efficiency.