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Forecasting day-ahead of power generation from photovoltaic stations and use weather apps

Batsala Yaroslav, Hlad Ivan, Yaremak Iryna

Journal of New Technologies in Environmental Science

2021

Vol. 5, nr 4

143--149

This article presents the results of research on the influence of meteorological parameters on the amount of electricity generated by photovoltaic plants. The dependences of the amount of energy generated by the photovoltaic station on the time of generation and the length of daylight, the average daily temperature and the number of clear hours during the day are given. We proposed to use cloud level coefficients to reflect changes in solar insolation. Based on the obtained data, a new mathematical model of the daily forecast of electricity generation of photovoltaic stations is created. Weather forecast applications are recommended to determine the input parameters of the forecast model.