Automation of Solar System for Maximum Power Point Tracking using IoT
K. Naga Sujatha, R.S. Ponmagal, T. Godhavari · 2016
The importance of this paper focuses on the efficiency of the solar panel which can be increased by incorporating indigenous solar tracking systems in order to increase solar panel efficiency. The implementation necessitates precise control which is important to build a refined tracking system. A solar tracking system with Artificial Neural Network (ANN) based Image Processing (IPT) Techniques to estimate the astronomical aspects of the sun from Global Positioning System (GPS) and machine vision image sensor is proposed here. The features extracted using IP algorithms with a decision making AI process is adopted to differentiate whether the present weather condition is sunny or cloudy. With reference to the results obtained, the solar tracking system establishes the usage of astronomical calculations approximately. The proposed hi-tech arrangement is evaluated and validated through experimentation results which are made available on the cloud service for coordination.