PV output estimation method of power distribution station area based on federated learning framework and improved transformer neural network

PV output estimation method of power distribution station area based on federated learning framework and improved transformer neural network

In contemporary distribution networks (DNs), characterized by extensive integration of distributed energy, the photovoltaic (PV) power output data from the distribution station areas become crucial for system planning and operational optimization. Since many PVs are installed behind-the-meter (BTM),...

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Bibliographic Details
Main Authors: Bo Chen, Rui Liu, Mengdi Wei, Xian Wang, Yi Sun, Donglei Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Energy Research
Subjects:
PV Estimation
BTM
improved Transformer
federated Learning
momentum aggregation
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1349995/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2024.1349995/full

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