The goal of this project is to forecast Direct Normal Irradiance using a deep learning model Temporal Fusion Transformer. Direct Normal Irradiance accounts for a large portion of Photovoltaic solar energy. So, it has become essential to forecast DNI accurately from solar power for the effective operation and maintenance of power systems.