IrradianceNet: Spatiotemporal deep learning model for satellite-derived solar irradiance short-term forecasting-Reference-Cited by-同舟云学术

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IrradianceNet: Spatiotemporal deep learning model for satellite-derived solar irradiance short-term forecasting

Published:2021-11 Issue: Volume:228 Page:659-669
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Nielsen Andreas H.,Iosifidis Alexandros,Karstoft Henrik

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. Review of photovoltaic power forecasting;Antonanzas;Sol. Energy,2016

2. Nowcasting solar irradiance using an analog method and geostationary satellite images;Ayet;Sol. Energy,2018

3. Deutscher Wetterdienst (DWD), n.d. Open Data Server. Available: https://www.dwd.de/EN/ourservices/opendata/opendata.html. Accessed: 2021-08-18. [Online].

4. Understanding the difficulty of training deep feedforward neural networks, in;Glorot,2010

5. Deep learning;Goodfellow,2016

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