SkyGPT: Probabilistic ultra-short-term solar forecasting using synthetic sky images from physics-constrained VideoGPT

SkyGPT: Probabilistic ultra-short-term solar forecasting using synthetic sky images from physics-constrained VideoGPT

The variability of solar photovoltaic (PV) power output, driven by rapidly changing cloud dynamics, hinders the transition to reliable renewable energy systems. Information on future sky conditions, especially cloud coverage, holds the promise for improving PV output forecasting. Leveraging recent a...

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Bibliographic Details
Main Authors: Yuhao Nie, Eric Zelikman, Andea Scott, Quentin Paletta, Adam Brandt
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Advances in Applied Energy
Subjects:
Cloud motion prediction
Probabilistic solar forecasting
Deep learning
Generative models
Stochastic video prediction
Sky images
Online Access:http://www.sciencedirect.com/science/article/pii/S2666792424000106

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http://www.sciencedirect.com/science/article/pii/S2666792424000106

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