Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

The current electric power system witnesses a significant transition into Smart Grids (SG) as a promising landscape for high grid reliability and efficient energy management. This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data gener...

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Bibliographic Details
Main Authors: Mohamed Massaoudi, Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, Fakhreddine S. Oueslati
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Smart grid
deep learning
deep neural networks
edge computing
distributed and federated learning
power systems
Online Access:https://ieeexplore.ieee.org/document/9395437/

Internet

https://ieeexplore.ieee.org/document/9395437/

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