C.
Wan, J. Lin, Y. Song, et al.
"Probabilistic forecasting of photovoltaic generation：An
efficient statistical approach"
IEEE Transactions on Power Systems Vol: PP, Issue: 99
【Abstract】A
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.
【Keywords】Forecasting,
Computational modeling, Probabilistic logic, Power system reliability,
Reliability, Uncertainty, Numerical models
【ISSN】0885-8950