A short report on deep learning synergy for decentralized smart grid cybersecurity

A short report on deep learning synergy for decentralized smart grid cybersecurity

Saved in:

Bibliographic Details
Main Authors:	Saurav Verma, Ashwini Rao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-04-01
Series:	Frontiers in Artificial Intelligence
Subjects:	smart grid artificial intelligence machine learning block chain deep learning
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1557960/full
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence
by: Ahmet Cifci
Published: (2025-01-01)

A hybrid AI-Blockchain security framework for smart grids
by: Yazeed Yasin Ghadi, et al.
Published: (2025-07-01)

Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection
by: S. V. Kochergin, et al.
Published: (2024-12-01)

Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review
by: Arman Fathollahi
Published: (2025-06-01)

Future Smart Grids Control and Optimization: A Reinforcement Learning Tool for Optimal Operation Planning
by: Federico Rossi, et al.
Published: (2025-05-01)

AI-Enabled Predictive Analytics in Smart Grids: The Case of Sweden
by: Theodore Kindong, et al.
Published: (2025-04-01)

Machine Learning-Enriched Cybersecurity in Smart Grids
by: G. Amritha, et al.
Published: (2025-01-01)

The application of cybersecurity in smart city innovations: an AI aspect
by: Нараян Чандра Натх, et al.
Published: (2025-05-01)

Transforming nano grids to smart grid 3.0: AI, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem
by: Herman Zahid, et al.
Published: (2025-09-01)

Quantum Key Distribution Applicability to Smart Grid Cybersecurity Systems
by: Warren Grice, et al.
Published: (2025-01-01)

Educational Simulator of Smart Grid (ESSG)
by: Nour EL Yakine Kouba, et al.
Published: (2024-10-01)

Editorial: Exploring the power of AI and ML in smart grids: advancements, applications, and challenges
by: Vikram Kulkarni, et al.
Published: (2025-06-01)

Decentralized energy trading in smart grid using secured post quantum encryption
by: S. Sofana Reka, et al.
Published: (2025-09-01)

Advancements in grid resilience: Recent innovations in AI-driven solutions
by: Sana Hafez, et al.
Published: (2025-06-01)

Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach
by: David Carrascal, et al.
Published: (2024-11-01)

Distributed flexible resource regulation strategy for residential communities based on deep reinforcement learning
by: Tianyun Xu, et al.
Published: (2024-11-01)

Exploring the emerging role of large language models in smart grid cybersecurity: a survey of attacks, detection mechanisms, and mitigation strategies
by: Nourhan Ibrahim, et al.
Published: (2025-03-01)

Enhancing Distributed Energy Markets in Smart Grids Through Game Theory and Reinforcement Learning
by: Ameni Boumaiza, et al.
Published: (2024-11-01)

Exploring the promising role of internet of things in urban water systems: a comprehensive global analysis of insights, trends, and research priorities
by: Shaher Zyoud
Published: (2025-03-01)

High-Performance Analysis of Smart Grid Based on Intelligent Controller
by: Ahmed K. Abbas, et al.
Published: (2025-05-01)

Cybersecurity and Major Cyber Threats of Smart Meters: A Systematic Mapping Review
by: Jones Márcio Nambundo, et al.
Published: (2025-03-01)

Deep Neural Networks in Smart Grid Digital Twins: Evolution, Challenges, and Future Outlooks
by: Shewit Tsegaye, et al.
Published: (2025-01-01)

A secure and efficient authentication scheme for vehicle to grid in smart grid
by: Nan Xiao, et al.
Published: (2025-03-01)

Applications of key technologies of storage and analysis in electric power big data for smart grid
by: Lizhen CUI, et al.
Published: (2017-11-01)

Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities
by: Mithul Raaj A T, et al.
Published: (2024-08-01)

Machine-Learning-Based Classification of Electronic Devices Using an IoT Smart Meter
by: Paulo Eugênio da Costa Filho, et al.
Published: (2025-05-01)

Outlier Detection and Correction in Smart Grid Energy Demand Data Using Sparse Autoencoders
by: Levi da Costa Pimentel, et al.
Published: (2024-12-01)

Green tech, safe networks: the role of cybersecurity in combating climate change
by: Idris Olanrewaju Ibraheem, et al.
Published: (2025-05-01)

A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids
by: Boyu Wang, et al.
Published: (2025-01-01)

Artificial intelligence techniques for stability analysis in modern power systems
by: Jiashu Fang, et al.
Published: (2024-12-01)

SMART GRID HYBRID PHOTOVOLTAIC SYSTEM
by: Razvan MARCUS
Published: (2021-05-01)

Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
by: Heng Shi, et al.
Published: (2024-12-01)

Smart Grids and Sustainability: The Impact of Digital Technologies on the Energy Transition
by: Paola Campana, et al.
Published: (2025-04-01)

Anomaly detection with grid sentinel framework for electric vehicle charging stations in a smart grid environment
by: V. Thiruppathy Kesavan, et al.
Published: (2025-05-01)

An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids
by: Mohammad Mehdi Sharifi Nevisi, et al.
Published: (2025-05-01)

Unsupervised Learning With Hybrid Models for Detecting Electricity Theft in Smart Grids
by: Ali Jaber Almalki
Published: (2024-01-01)

Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits
by: Bo Nørregaard Jørgensen, et al.
Published: (2025-06-01)

Smart Grid Fault Mitigation and Cybersecurity with Wide-Area Measurement Systems: A Review
by: Chisom E. Ogbogu, et al.
Published: (2025-02-01)

Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management
by: Falah Dakheel, et al.
Published: (2025-05-01)

Federated intelligence for smart grids: a comprehensive review of security and privacy strategies
by: Raseel Z. Alshamasi, et al.
Published: (2025-07-01)