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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mohamed Massaoudi (16888710) (author)
مؤلفون آخرون:	Haitham Abu-Rub (16855500) (author), Shady S. Refaat (16864269) (author), Ines Chihi (16888713) (author), Fakhreddine S. Oueslati (16888716) (author)
منشور في:	2021
الموضوعات:	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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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

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