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The photovoltaic (PV) module temperature (Tm) and ambient temperature (Ta) are both important factors to PV power output (P), but are often confused with each other or even ignored. In this paper, the physical analysis methods and mathematical analysis methods are utilized to research the differences and similarities of two temperatures in effecting of PV power output. Firstly, based on PV effect...
As one of the most related parameters of photovoltaic (PV) power generation, the temperature of PV modules and its prediction play very important role in PV power forecasting. A short-term step-wise temperature prediction model for PV module based on back propagation (BP) neural network is proposed in this paper. Firstly, the impact factors of PV module temperature are determined according to the...
The accuracy of photovoltaic (PV) power forecasting decreases drastically under cloudy weather due to the rapid, violent and irregular fluctuation of solar irradiance. Therefore, to improve the accuracy of PV power forecasting, a detailed study on the influence of clouds in different movement and evolution patterns on solar irradiance is very necessary. The classification and recognition of different...
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