The Effective Solar Panel Tracker to Obtain Maximum Energy Optimization by Using Innovative Machine Learning

The heat from solar energy can be used to heat the air and use that heat for drying. Solar trackers are used to effectively track the solar collector to heat the air through a solar thermal collector. The drying hot air can be arranged as layer type trackers as per our requirement.A geo thermal heat pump uses geothermal energy to heat your home in winter and cool it in summer in a cost-effective and renewable way. A mini-split heat pump is the second best way to heat or cool your home or commercial space. In this paper an innovative machine learning model was proposed to enhance the tracking of solar panels. The main objective is to obtain the maximum energy of the solar thermal collector. A tracker uses many times more energy than a washing machine. So the efficiency of both can be improved by researching and selecting more energy efficient machines.A portable solar powered cooling unit uses a solar panel and inverter to provide relief from overheating by converting the DC power provided by the panel into 3-phase AC power. In a saturation point the proposed model achieved 87.20% of integrated tracking, 91.59% of distributed tracking, 90.20% of combined tracking, 89.11% of heat based tracking and 93.77% of high power solar tracking. The proposed model achieved higher level of energy optimization. This will possible because the proposed model monitor and generate the high level of energy because of the machine monitoring model.