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About Deep Learning in Smart Grid Technology A Review of Recent Advancements and Future Prospects
This document provides a review of recent advancements in applying deep learning techniques to smart grid technologies and their future prospects. It begins with an introduction on the challenges of implementing smart grids and how deep learning can help address these challenges by learning complex patterns from heterogeneous smart grid data. It then reviews existing literature on deep learning and smart grids. The review aims to provide a systematic and critical overview of recent deep learning methodologies for smart grids as well as emerging technologies like federated learning and edge intelligence. It concludes by discussing future research directions at the intersection of advanced deep learning and electric power systems.
Detailed Information
| Author: | ['Dr-Rabia Almamalook'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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