A Day Solar Photo-Voltaic Plant Prediction Using Machine Learning Algorithms

Abstract

Renewable energy sources are a viable option for bridging the power industry's continuous supply gap. Solar energy is the most advantageous of all renewable energy resources since it is available worldwide, unlike other geographically limited resources. For this enormous solar system implementation, sophisticated frameworks for remote plant monitoring using a Raspberry Pi-based interface are required. Because most of them are located in difficult places, monitoring them from a single location is impossible. This system measures the voltage, current temperature, and light intensity. The system is implemented using raspberry pi. The data logger system is also implemented in this system. The proposed system is implemented in real-time. The proposed system shows accurate results in real-time.