Solar Irradiance Nowcasting for Virtual Power Plants Using Multimodal Long Short-Term Memory Networks

Solar Irradiance Nowcasting for Virtual Power Plants Using Multimodal Long Short-Term Memory Networks

The rapid penetration of photovoltaic generation reduces power grid inertia and increases the need for intelligent energy resources that can cope in real time with the imbalance between power generation and consumption. Virtual power plants are a technology for coordinating such resources and moneti...

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Bibliographic Details
Main Authors: Dilantha Haputhanthri, Daswin De Silva, Seppo Sierla, Damminda Alahakoon, Rashmika Nawaratne, Andrew Jennings, Valeriy Vyatkin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Energy Research
Subjects:
solar irradiance nowcasting
virtual power plants
multimodal data streams
long short-term memory networks
artificial intelligence
decarbonization
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.722212/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.722212/full

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