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Sparse Variational Gaussian Process Based Day-Ahead Probabilistic Wind Power Forecasting

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY(2022)

Cited 13|Views24
Key words
Uncertainty,Wind power generation,Forecasting,Predictive models,Data models,Kernel,Estimation,Probabilistic wind power forecasting,SVGP,Bayesian learning,uncertainty modeling,probability density
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