IEEE Transactions on Smart Grid

Papers
(The H4-Index of IEEE Transactions on Smart Grid is 72. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
2021 Index IEEE Transactions on Smart Grid Vol. 12237
Consensus Algorithm-Based Two-Stage Frequency Regulation Strategy With EVs Participating as VSMs220
An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems212
A Gaussian Process-Regularized Graphical Learning Method for Distribution System State Estimation Using Extremely Scarce State Variable Labels172
Reduced Order Model of Transactive Bidding Loads153
Prescribed-Time Multiple-Stage Control for Voltage Regulation and Optimal Current Sharing in DC Microgrids151
Automated Event Region Identification and Its Data-Driven Applications in Behind-the-Meter Solar Farms Based on Micro-PMU Measurements150
Optimal Scheduling of Mobile Energy Storage Capable of Variable Speed Energy Transmission148
A False Data Injection Attack Detection Strategy for Unbalanced Distribution Networks State Estimation146
Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks142
Blockchain-Based Water-Energy Transactive Management With Spatial-Temporal Uncertainties137
A Storage-Based Fixed-Time Frequency Synchronization Method for Improving Transient Stability and Resilience of Smart Grid134
Detection of Electric Bicycle Indoor Charging for Electrical Safety: A NILM Approach134
Stability Analysis of Low-Voltage Distribution Feeders Operated as Islanded Microgrids132
Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data132
IEEE Membership130
A Butterfly Effect: Attack-Induced Heterogeneous Equilibrium Points of High-Voltage DC Systems130
Sizing of Hybrid Energy Storage Systems Using Recurring Daily Patterns129
Optimal Design of Volt/VAR Control Rules of Inverters Using Deep Learning129
Dynamic Anomaly Detection With High-Fidelity Simulators: A Convex Optimization Approach127
Gradient-Free Accelerated Event-Triggered Scheme for Constrained Network Optimization in Smart Grids127
Faulty-Feeder Detection for Single Phase-to-Ground Faults in Distribution Networks Based on Waveform Encoding and Waveform Segmentation125
Dynamic Control and Time-Delayed Channel Scheduling Co-Design for Voltage Control in Active Distribution Networks125
Dynamic State Estimation of Smart Distribution Grids Using Compressed Measurements119
Risk-Based Constraints for the Optimal Operation of an Energy Community119
Customer-Centered Pricing Strategy Based on Privacy-Preserving Load Disaggregation118
A Scalable Control Design for Grid-Forming Inverters in Microgrids117
Special Section on Local and Distributed Electricity Markets117
Stealth Data Injection Attacks With Sparsity Constraints114
A High-Efficiency and Incentive-Compatible Peer-to-Peer Energy Trading Mechanism114
Annealing-Based Quantum Computing for Combinatorial Optimal Power Flow113
Frequency Constrained Proactive Scheduling for Secure Microgrid Formation in Wind Power Penetrated Distribution Systems113
Monitoring Data Factorization of High Renewable Energy Penetrated Grids for Probabilistic Static Voltage Stability Assessment112
Mobility in the Smart Grid: Roaming Protocols for EV Charging108
Incentive-Based Integrated Demand Response Considering S&C Effect in Demand Side With Incomplete Information108
A Demand Response-Based Solution to Overloading in Underdeveloped Distribution Networks108
Localizing False Data Injection Attacks in Smart Grid: A Spectrum-Based Neural Network Approach104
Autonomous Active Power Dispatching Control of Soft Open Points in Distribution Networks97
An Assessment of Multistage Reward Function Design for Deep Reinforcement Learning-Based Microgrid Energy Management97
Incorporating Data-Driven Demand-Price Uncertainty Correlations Into Microgrid Optimal Dispatch94
Multi-Objective Interval Optimization Dispatch of Microgrid via Deep Reinforcement Learning93
Hierarchical Coupled Driving-and-Charging Model of Electric Vehicles, Stations and Grid Operators91
Anomaly-Based Detection of Cyberattacks on Line Current Differential Relays90
Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems90
A Novel Mobility Model to Support the Routing of Mobile Energy Resources90
Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes89
Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization89
Demand Management for Peak-to-Average Ratio Minimization via Intraday Block Pricing89
Data Aggregation Point Placement for Smart Meters in the Smart Grid88
Day-Ahead Strategic Operation of Hydrogen Energy Service Providers85
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading84
Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning83
SAMNet: Toward Latency-Free Non-Intrusive Load Monitoring via Multi-Task Deep Learning83
A Time Efficient Factorial Hidden Markov Model-Based Approach for Non-Intrusive Load Monitoring81
Scheduling of Separable Mobile Energy Storage Systems With Mobile Generators and Fuel Tankers to Boost Distribution System Resilience81
Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction81
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems81
A Survey of Power System State Estimation Using Multiple Data Sources: PMUs, SCADA, AMI, and Beyond80
Power Modeling for Effective Datacenter Planning and Compute Management79
A Game-Theoretic Approach for Electric Vehicle Aggregators Participating in Phase Balancing Considering Network Topology78
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model78
Table of Contents77
Stochastic Strategic Participation of Active Distribution Networks With High-Penetration DERs in Wholesale Electricity Markets77
IEEE Power Engineering Society Information for Authors77
Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost76
A Cyber Attack Mitigation Scheme for Series Compensated DFIG-Based Wind Parks75
A Decentralized Fault-Tolerant Control for DC Microgrids Against Disturbances and Actuator Faults75
A Marginal Cost Consensus Scheme With Reset Mechanism for Distributed Economic Dispatch in BESSs75
A Remedy to Losing Time Synchronization at D-PMUs, H-PMUs, and WMUs in Event Location Identification in Power Distribution Systems73
A Novel Barrier Lyapunov Function-Based Online Learning Control Method for Solid Oxide Fuel Cell in DC Microgrids73
Reference Phasor-Based Data Self-Synchronization Scheme for Line Current Differential Protection in Active Distribution Networks73
Comparisons of Auction Designs Through Multiagent Learning in Peer-to-Peer Energy Trading72
Resiliency Augmented Hybrid AC and DC Distribution Systems With Inverter-Dominated Dynamic Microgrids72
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