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...
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: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.722212/full |
Similar Items
-
Robust Multi-Step Predictor for Electricity Markets with Real-Time Pricing
by: Sachin Kahawala, et al.
Published: (2021-07-01) -
Towards the Development of a Low-Cost Irradiance Nowcasting Sky Imager
by: Luis Valentín, et al.
Published: (2019-03-01) -
Unscented Kalman Filter-Aided Long Short-Term Memory Approach for Wind Nowcasting
by: Junghyun Kim, et al.
Published: (2021-08-01) -
Real-Time Uncertainty Specification of All Sky Imager Derived Irradiance Nowcasts
by: Bijan Nouri, et al.
Published: (2019-05-01) -
Nowcasting Surface Solar Irradiance with AMESIS via Motion Vector Fields of MSG-SEVIRI Data
by: Donatello Gallucci, et al.
Published: (2018-05-01)