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Probabilistic Intraday PV Power Forecast Using Ensembles of Deep Gaussian Mixture Density Networks

There is a growing interest of estimating the inherent uncertainty of photovoltaic (PV) power forecasts with probability forecasting methods to mitigate accompanying risks for system operators. This study aims to advance the field of probabilistic PV power forecast by introducing and extending deep...

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Bibliografski detalji
Glavni autori: Oliver Doelle, Nico Klinkenberg, Arvid Amthor, Christoph Ament
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2023-01-01
Serija:Energies
Teme:
Online pristup:https://www.mdpi.com/1996-1073/16/2/646
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