The generation of electricity from the sun's rays may be accomplished in one of three ways: directly, via the use of photovoltaics (PV); indirectly, through the use of concentrated solar power; or all three together. Concentrated solar power systems do this by using lenses, mirrors, and solar tracking devices to concentrate the sunlight from a wide region into a narrow beam. Through the use of the photovoltaic effect, photovoltaic cells are able to convert light into an electric current. In the beginning, photovoltaics were only employed as a source of energy for small and medium-sized applications. This ranged from the calculator that was powered by a single solar cell to off-grid rooftop PV systems that provided power to residences in rural areas. Concentrated solar power, also known as CSP, and photovoltaic power, often known as PV power, are the two primary options for harnessing the energy that the sun provides. In the first scenario, which is often referred to as solar thermal power production, there are already established heat-based systems that are in place to convert heat in the form of steam into electricity. In this body of study, we made use of methodologies that included non linear regression analysis. As a result, this article presents a discussion on the various regression strategies that were used in my study. In the course of my research, I will be processing the data by making use of various meteorological parameters, such as solar irradiation, module temperature, and ambient temperature, amongst others. Additionally, the Effectiveness of the model will be assessed by making use of appropriate and widely utilised performance indicators. In this research paper we discuss concept of solar system and also Study on Hybrid Learning approach to Predict Solar energy level.