Performance analysis of PV panel using novel validation techniques and machine learning algorithms

Abstract

The need for energy in countries is rising daily as a result of expanding newlinepopulation and developing economy. In addition to these, a variety of newlineadditional Renewable Energy Sources (RES), such as wind, geothermal, solar, newlineand hydroelectricity, are attracting a lot of interest in an effort to address the newlineescalating environmental problems brought on by depletion of fossil fuels and newlinethe destruction of ecological balance. In order to satisfy rising energy demand newlineand ensure environmental issues are kept to a minimum, solar energy is newlinerecognized as one of the potential RES due to its sustainability and abundance. newlineAccording to statistics, the installed solar PV capacity worldwide continues to newlinerise quickly, and by 2019 the total installed capacity had grown to 629 GW. newlineSolar photovoltaic energy has less of a negative impact on environment during newlineoperation and maintenance than conventional energy sources. Solar newlinePhotovoltaic (PV) is expanding its horizons in energy sector once more as a newlineresult of decline in its price. As a consequence, PV is regarded as one of the newlinetechnologies that produces most power globally. newline newline