Short-Term Solar Irradiance Forecasting Based on a Hybrid Deep Learning Methodology

Short-Term Solar Irradiance Forecasting Based on a Hybrid Deep Learning Methodology

Accurate prediction of solar irradiance is beneficial in reducing energy waste associated with photovoltaic power plants, preventing system damage caused by the severe fluctuation of solar irradiance, and stationarizing the power output integration between different power grids. Considering the rand...

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Bibliographic Details
Main Authors: Ke Yan, Hengle Shen, Lei Wang, Huiming Zhou, Meiling Xu, Yuchang Mo
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Information
Subjects:
short-term forecasting
solar irradiance
gated recurrent unit
attention mechanism
Online Access:https://www.mdpi.com/2078-2489/11/1/32

Internet

https://www.mdpi.com/2078-2489/11/1/32

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