Scientists classify weather types based on extreme photovoltaic output events

Scientists used a year's worth of data from East China to analyze what weather conditions affect abnormal, high, and low PV output days. They also constructed a simple extreme output prediction model and examined the atmospheric circulation anomalies corresponding to extreme output events. Researchers from the China Electric Power Research Institute have outlined a new classification of weather types based on abnormal PV output events and different weather types and, based on this new taxonomy, they have developed a simple extreme output prediction model. "Currently our model is based on the ...

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