Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models

Research article (Renewable Energy, 2021) · cited 77× · AI/ML
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Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models

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Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models. Retrieved May 24, 2026, from https://4ort.xyz/entity/probabilistic-wind-power-forecasting-using-selective-ensemble-of-finite-mixture-gaussian-process-regression-models
MLA “Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/probabilistic-wind-power-forecasting-using-selective-ensemble-of-finite-mixture-gaussian-process-regression-models.
BibTeX @misc{4ortxyz_probabilistic-wind-power-forecasting-using-selective-ensemble-of-finite-mixture-gaussian-process-regression-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models}}, year = {2026}, url = {https://4ort.xyz/entity/probabilistic-wind-power-forecasting-using-selective-ensemble-of-finite-mixture-gaussian-process-regression-models}, note = {Accessed: 2026-05-24}}
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