Deep Federated Adaptation: An Adaptative Residential Load Forecasting Approach with Federated Learning

Deep Federated Adaptation: An Adaptative Residential Load Forecasting Approach with Federated Learning

Residential-level short-term load forecasting (STLF) is significant for power system operation. Data-driven forecasting models, especially machine-learning-based models, are sensitive to the amount of data. However, privacy and security concerns raised by supervision departments and users limit the...

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Bibliographic Details
Main Authors: Yuan Shi, Xianze Xu
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
electric load forecasting
transfer learning
federated learning
domain adaptation
Online Access:https://www.mdpi.com/1424-8220/22/9/3264

Internet

https://www.mdpi.com/1424-8220/22/9/3264

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