Innovative Machine Learning method for the creation of Power-Maximizing Solar Trackers

Energy consumption is generally high in summer, today there are no homes without air conditioning. The Power consumption is naturally higher in summer. At the same time power generation is not going to increase. Solar power is a natural way for us to meet our home electricity needs, not just this summer. Inverters are generally fitted in many homes today. They manage to keep the inverter on when there is no electricity. But the electricity stored in this inverter is the electricity available to us through the power board. That is what they are storing and using. But this solar panel will also help to overcome the power shortage. In this paper, an innovative machine learning model was proposed to track solar panels to obtain maximum energy optimization. We can produce a portion of our electricity needs from sunlight if we do not buy only the solar panel and its charging controller. The proposed model regularly tracks the solar panel direction and identifies the maximum optimized location while the solar light was regularly fallen in the panel. The proposed model was compared with existing models in various aspects and the results were discussed.