The solar power industry has emerged as a significant player in the growing energy market. In recent years, its grid penetration has increased correspondingly. Short-term solar forecasting accuracy is difficult to come by. It is crucial for solar park scheduling. Solar generation technologies have seen tremendous expansion in the energy market over the last decade or two, owing to increased renewable energy penetration in electrical grid systems. The solar resource is highly changeable, owing to a variety of factors. As a result of climate conditions, different grid and plant-level issues arise. As a result, forecasting methods are essential for various periods. With great accuracy, models for numerical weather prediction (NWP) are used in this article. This method applies to solar forecasts for the day-ahead forecasting and it is assessed by forecasting global outcomes. Irradiance was measured horizontally at five key solar power facility locations in the subcontinent of India.