Predictive linear regression model for microinverter internal temperature

Mohammad A. Hossain, Timothy J. Peshek, Yifan Xu, Yang Hu, Liang Ji, Alexis R. Abramson, Roger H. French
2014 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)  
A predictive linear regression model was developed to predict the microinverter internal temperature operating under real-world conditions on dual-axis trackers. The predictive model is a function of statistically significant variables: ambient temperature, photovoltaic (PV) module temperature, irradiance and AC power data. Time-series environmental, temperature and power data were analyzed in a statistical analytical approach to identify the statistically significant variables. The adjusted
more » ... es. The adjusted rsquared value of the predictive model is 0.9793. The dominant contributor to the microinverter temperature is the PV module backsheet temperature.
doi:10.1109/pvsc.2014.6925081 fatcat:bsldoe3hw5aehez4brs423ocfe