Federated Learning for Short-Term Residential Load Forecasting

Federated Learning for Short-Term Residential Load Forecasting

Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart meters will prove a vital component to facilitate these for...

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Bibliographic Details
Main Authors: Christopher Briggs, Zhong Fan, Peter Andras
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Access Journal of Power and Energy
Subjects:
Federated learning
load forecasting
distributed machine learning
deep learning
data privacy
Internet-of-Things
Online Access:https://ieeexplore.ieee.org/document/9888131/

Internet

https://ieeexplore.ieee.org/document/9888131/

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