Week-ahead solar irradiance forecasting with deep sequence learning

In order to enable widespread integration of solar energy into the power system, there is an increasing need to reduce the uncertainty associated with solar power output which requires major improvements in solar irradiance forecasting. While most recent works have addressed short-term (minutes or h...

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Bibliographic Details

Published in:	Environmental Data Science
Main Authors:	Saumya Sinha, Bri-Mathias Hodge, Claire Monteleoni
Format:	Article
Language:	English
Published:	Cambridge University Press 2022-01-01
Subjects:	Deep sequence models renewable energy uncertainty estimation week-ahead forecasting
Online Access:	https://www.cambridge.org/core/product/identifier/S2634460222000206/type/journal_article