A Comparative Analysis of Solar PV Forecast using SVM under CO2 Concentration

Abstract

Installation of a solar PV plant requires an understanding of the performance of solar PV panels in various weather conditions by which solar output power has to be predicted well in advance. Solar PV technology is the most reliable and cost-effective technology compared to other renewable energy technologies. To minimize the cost of production and pollution, it is very essential to improve the techno-economic parameters of the technology and have a better understanding of the development of solar PV technology but the efficiency of solar PV technology depends on various environmental factors. Irradiation and temperature are the main inputs in solar PV technology. Again both the terms depend on greenhouse content and its concentration in the atmosphere. Due to the influence of many factors, the forecasting of the solar PV performance in terms of output is a difficult task. So various comparative analysis has been used for forecasting solar PV power. This paper has analysed support vector machines through the MATLAB simulation model for forecasting the performance parameters of the solar PV system. An experiment has been conducted at NRRI, Cuttack in collecting real-time data for analysis.