Research on Load Forecasting of Novel Power System Based on Efficient Federated Transfer Learning

Research on Load Forecasting of Novel Power System Based on Efficient Federated Transfer Learning

The load forecasting research for an NPS faces challenges including a high model accuracy, non-sharing of data, and a high communication cost. This paper proposes a load forecasting method for an NPS, based on efficient federated transfer learning (FTL). The adversarial feature extractor is added on...

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Bibliographic Details
Main Authors: Jian Wang, Baoquan Wei, Jianjun Zeng, Fangming Deng
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
novel power system
federated learning
gradient compression
load forecasting
Online Access:https://www.mdpi.com/1996-1073/16/16/6070

Internet

https://www.mdpi.com/1996-1073/16/16/6070

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