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

<p>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 d...

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Bibliographic Details
Main Author: Mohamed Massaoudi (16888710) (author)
Other Authors: Haitham Abu-Rub (16855500) (author), Shady S. Refaat (16864269) (author), Ines Chihi (16888713) (author), Fakhreddine S. Oueslati (16888716) (author)
Published: 2021
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Distributed computing and systems software
Machine learning
Forecasting
Deep learning
Artificial intelligence
Smart grids
Collaborative work
Predictive models
Renewable energy sources
Deep neural networks
Edge computing
Distributed and federated learning
Power systems
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