SOLAR POWER GENERATION PREDICTION USING MACHINE LEARNING TECHNIQUE









Abstract

The solar energy plant works by converting sunlight into electricity. The utilisation of solar energy has increased in recent years. With the help of a solar power plant, we can not only save money on electricity, but we can also benefit the environment. Solar energy is converted into electricity either directly or indirectly via photovoltaics. These days, we use a machine learning model. Data is the most important component of artificial intelligence. The previous dataset is gathered and used to create a machine learning model. The essential pre-processing procedures are implemented, such as univariate and Bivariate analysis. The data is shown to help understand the features, and a classification model is developed using a machine learning algorithm and comparison of the data.


Modules


Algorithms


Software And Hardware