Deep learning-based hybrid short-term solar forecast using sky images and meteorological data

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Deep learning-based hybrid short-term solar forecast using sky images and meteorological data

The global growth of solar power generation is rapid, yet the complex nature of cloud movement introduces significant uncertainty to short-term solar irradiance, posing challenges for intelligent power systems. Accurate short-term solar irradiance and photovoltaic power generation predictions under...

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Bibliographic Details
Main Author:	Zhang, Liwenbo
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	solar power forecasting solar irradiance forecasting renewable energy solar energy deep learning (Machine learning)
Online Access:	https://eprints.nottingham.ac.uk/73711/

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