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【学术论文】IEEE Trans. Power Systems:Probabilistic forecasting of photovoltaic generation:An efficient statistical approach
作者:sgool    发布于:2016-12-09 12:00:08    文字:【】【】【

C. Wan, J. Lin, Y. Song, et al.

"Probabilistic forecasting of photovoltaic generationAn efficient statistical approach"

IEEE Transactions on Power Systems Vol: PP, Issue: 99

AbstractA novel efficient probabilistic forecasting approach is proposed to accurately quantify the variability and uncertainty of the power production from photovoltaic (PV) systems. Distinguished from most existing models, a linear programming based prediction interval construction model for PV power generation is constructed based on extreme learning machine and quantile regression, featuring high reliability and computational efficiency. The proposed approach is validated through the numerical studies on PV data from Denmark.

KeywordsForecasting, Computational modeling, Probabilistic logic, Power system reliability, Reliability, Uncertainty, Numerical models

ISSN0885-8950

DOI10.1109/TPWRS.2016.2608740

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