Solar power is the conversion of energy from sunlight into electricity, either directly using photovoltaics (PV), indirectly using concentrated solar power, or a combination. Concentrated solar power systems use lenses or mirrors and solar tracking systems to focus a large area of sunlight into a small beam. Photovoltaic cells convert light into an electric current using the photovoltaic effect. Pheotovoltaics were initially solely used as a source of electricity for small and medium-sized applications, from the calculator powered by a single solar cell to remote homes powered by an off-grid rooftop PV system. Generally, two alternatives exist when it comes to the energy from the sun: concentrated solar power (CSP) and photovoltaic (PV) power. In the former case, often referred to as solar thermal power generation, standard heat-based systems are in place to change heat in the form of steam to power. In this research work we used nonlinear regression analysis techniques. This paper therefore discusses about the different regression techniques used in my research. In my research work data processing will be done by using the weather parameters such as solar irradiation, module temperature, ambient temperature etc. and the performance of the model will be evaluated using suitable and widely used performance indicators.