Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges

Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges

In recent years, machine learning methods have found numerous applications in power systems for load forecasting, voltage control, power quality monitoring, anomaly detection, etc. Distributed learning is a subfield of machine learning and a descendant of the multi-agent systems field. Distributed l...

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Bibliographic Details
Main Authors: Nastaran Gholizadeh, Petr Musilek
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
machine learning
distributed learning
federated learning
assisted learning
power systems
privacy
Online Access:https://www.mdpi.com/1996-1073/14/12/3654

Internet

https://www.mdpi.com/1996-1073/14/12/3654

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