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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
by: Mohamed Massaoudi (16888710)
Published: (2021)

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
by: Alaa Awad Abdellatif (17151163)
Published: (2022)

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
by: Mostafa M., Shibl
Published: (2023)

Blockchain-enabled distributed learning for enhanced smart grid security and efficiency
by: Alaa Awad Abdellatif (17151163)
Published: (2024)

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
by: Mohamed Massaoudi (16888710)
Published: (2021)

Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning
by: Atef H. Bondok (19482352)
Published: (2023)

Privacy Preservation of Data-Driven Models in Smart Grids Using Homomorphic Encryption
by: Dabeeruddin Syed (16864260)
Published: (2020)

Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
by: Lulwa Ahmed (16869936)
Published: (2020)

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
by: Mostafa M. Shibl (17821382)
Published: (2023)

Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
by: Sergio Márquez-Sánchez (19437985)
Published: (2023)

Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid Generation Domain
by: Maymouna Ez Eddin (16904604)
Published: (2022)

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
by: Dabeeruddin Syed (16864260)
Published: (2021)

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
by: Muhammad Asif Khan (7367468)
Published: (2022)

Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction
by: Naveed Ahmed (2433958)
Published: (2022)

Low Complexity Byzantine-Resilient Federated Learning
by: A. Gouissem (17541396)
Published: (2024)

Deep and transfer learning for building occupancy detection: A review and comparative analysis
by: Aya Nabil Sayed (17317006)
Published: (2022)

Temporal fusion transformer-based prediction in aquaponics
by: Ahmet Metin (12832543)
Published: (2023)

Blockchain-based recommender systems: Applications, challenges and future opportunities
by: Yassine Himeur (14158821)
Published: (2022)

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
by: Zaulkernan, Imran
Published: (2022)

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System
by: Ameema Zainab (16864263)
Published: (2021)

Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
by: Muhammad Usama (3629090)
Published: (2019)

Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions
by: Noor Aboueleneen (17984101)
Published: (2023)

Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
by: Khayata, Mohammad Tarek
Published: (2017)

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
by: Mohamed Massaoudi (16888710)
Published: (2024)

Theft Detection Unit For Photo-Votaic Generation in Smart Grid Networks
by: Almadani, Nouf Ahmad
Published: (2020)

Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT
by: Noora Mohammed Al-Maslamani (17541798)
Published: (2023)

Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications
by: Dabeeruddin Syed (16864260)
Published: (2021)

Next-generation energy systems for sustainable smart cities: Roles of transfer learning
by: Yassine Himeur (14158821)
Published: (2022)

HALOGrid—HyperAdaptive long short term memory model with intelligent grid optimization
by: Kamran Ahmad Awan (23643430)
Published: (2025)

Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids
by: Dabeeruddin Syed (16864260)
Published: (2023)

Edge intelligence for network intrusion prevention in IoT ecosystem
by: Mansura Habiba (17808302)
Published: (2023)

Predicting COVID-19 in the UAE Using Machine Learning
by: Sankalpa, Donthi
Published: (2022)

Random vector functional link network: Recent developments, applications, and future directions
by: A.K. Malik (16003193)
Published: (2023)

LexiSem: A re-ranker balancing lexical and semantic quality for enhanced abstractive summarization
by: Eman Aloraini (21797867)
Published: (2025)

The Integration of WoT and Edge Computing: Issues and Challenges
by: Tayyaba Anees (15373043)
Published: (2023)

Smart Power Systems Transformation: Advanced Fault Detection With Edge Computing and Signal Processing in LV Networks With EV Charging Stations
by: Partha Chakraborty (12423883)
Published: (2025)

A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity
by: Abdullah Al Siam (22304047)
Published: (2025)

Autonomous Demand-Side Management in the Future Smart Grid
by: Assaf, Tasneem Mohammad
Published: (2016)

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
by: Sasal, Lena
Published: (2022)

Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
by: Mohamed Massaoudi (16888710)
Published: (2025)