OOIR: Observatory of International Research

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 2021-09-01 to 2025-09-01.)

Article	Citations
2021 Index IEEE Transactions on Smart Grid Vol. 12	257
Reduced Order Model of Transactive Bidding Loads	250
Stability Analysis of Low-Voltage Distribution Feeders Operated as Islanded Microgrids	175
IEEE Membership	168
Gradient-Free Accelerated Event-Triggered Scheme for Constrained Network Optimization in Smart Grids	154
A Butterfly Effect: Attack-Induced Heterogeneous Equilibrium Points of High-Voltage DC Systems	152
Monitoring Data Factorization of High Renewable Energy Penetrated Grids for Probabilistic Static Voltage Stability Assessment	151
Automated Event Region Identification and Its Data-Driven Applications in Behind-the-Meter Solar Farms Based on Micro-PMU Measurements	149
A Game-Theoretic Approach for Electric Vehicle Aggregators Participating in Phase Balancing Considering Network Topology	149
Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems	149
A Demand Response-Based Solution to Overloading in Underdeveloped Distribution Networks	147
Risk-Based Constraints for the Optimal Operation of an Energy Community	146
A Novel Mobility Model to Support the Routing of Mobile Energy Resources	146
Blockchain-Based Water-Energy Transactive Management With Spatial-Temporal Uncertainties	141
Mobility in the Smart Grid: Roaming Protocols for EV Charging	141
Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction	137
Stealth Data Injection Attacks With Sparsity Constraints	137
A Gaussian Process-Regularized Graphical Learning Method for Distribution System State Estimation Using Extremely Scarce State Variable Labels	137
Power Modeling for Effective Datacenter Planning and Compute Management	132
A Storage-Based Fixed-Time Frequency Synchronization Method for Improving Transient Stability and Resilience of Smart Grid	129
Optimal Design of Volt/VAR Control Rules of Inverters Using Deep Learning	125
Localizing False Data Injection Attacks in Smart Grid: A Spectrum-Based Neural Network Approach	124
Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks	123
Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning	121
Hierarchical Coupled Driving-and-Charging Model of Electric Vehicles, Stations and Grid Operators	119

An Assessment of Multistage Reward Function Design for Deep Reinforcement Learning-Based Microgrid Energy Management	114
Sizing of Hybrid Energy Storage Systems Using Recurring Daily Patterns	113
Prescribed-Time Multiple-Stage Control for Voltage Regulation and Optimal Current Sharing in DC Microgrids	110
An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems	109
Day-Ahead Joint Chance-Constrained Optimal Scheduling of the Distribution Network With Electric Vehicle Aggregators	104
Optimal Ship-to-Grid Dispatch Considering Battery Thermal and Voltage Electrochemical-Thermal-Coupled Constraints	102
Anomaly-Based Detection of Cyberattacks on Line Current Differential Relays	101
Scheduling of Separable Mobile Energy Storage Systems With Mobile Generators and Fuel Tankers to Boost Distribution System Resilience	101
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model	98
Dynamic State Estimation of Smart Distribution Grids Using Compressed Measurements	98
Incorporating Data-Driven Demand-Price Uncertainty Correlations Into Microgrid Optimal Dispatch	98
Detection of Electric Bicycle Indoor Charging for Electrical Safety: A NILM Approach	97
Special Section on Local and Distributed Electricity Markets	97
Demand Management for Peak-to-Average Ratio Minimization via Intraday Block Pricing	95
Customer-Centered Pricing Strategy Based on Privacy-Preserving Load Disaggregation	94
Autonomous Active Power Dispatching Control of Soft Open Points in Distribution Networks	93
Frequency Constrained Proactive Scheduling for Secure Microgrid Formation in Wind Power Penetrated Distribution Systems	92
Power-SAM: An Advanced Abnormality Change Detection Algorithm for Intelligent Monitoring in Power Equipment	91
Faulty-Feeder Detection for Single Phase-to-Ground Faults in Distribution Networks Based on Waveform Encoding and Waveform Segmentation	91
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems	90
Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data	90
Dynamic Control and Time-Delayed Channel Scheduling Co-Design for Voltage Control in Active Distribution Networks	90
A Time Efficient Factorial Hidden Markov Model-Based Approach for Non-Intrusive Load Monitoring	89
Data Aggregation Point Placement for Smart Meters in the Smart Grid	87
Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes	85
Optimal Scheduling of Mobile Energy Storage Capable of Variable Speed Energy Transmission	85
Incentive-Based Integrated Demand Response Considering S&C Effect in Demand Side With Incomplete Information	85
A Scalable Control Design for Grid-Forming Inverters in Microgrids	83
Annealing-Based Quantum Computing for Combinatorial Optimal Power Flow	83
End-to-end Stochastic Predict-Then-Optimize for Cost-Efficient Water-Energy Resource Scheduling	82
Multi-Objective Interval Optimization Dispatch of Microgrid via Deep Reinforcement Learning	82
Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization	81
Day-Ahead Strategic Operation of Hydrogen Energy Service Providers	80
A High-Efficiency and Incentive-Compatible Peer-to-Peer Energy Trading Mechanism	78
SAMNet: Toward Latency-Free Non-Intrusive Load Monitoring via Multi-Task Deep Learning	78
A Survey of Power System State Estimation Using Multiple Data Sources: PMUs, SCADA, AMI, and Beyond	77
Dynamic Anomaly Detection With High-Fidelity Simulators: A Convex Optimization Approach	76
Table of Contents	76
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading	76
IEEE Power Engineering Society Information for Authors	76
A False Data Injection Attack Detection Strategy for Unbalanced Distribution Networks State Estimation	76
Consensus Algorithm-Based Two-Stage Frequency Regulation Strategy With EVs Participating as VSMs	76
A Marginal Cost Consensus Scheme With Reset Mechanism for Distributed Economic Dispatch in BESSs	75
Resiliency Augmented Hybrid AC and DC Distribution Systems With Inverter-Dominated Dynamic Microgrids	75
A Cyber Attack Mitigation Scheme for Series Compensated DFIG-Based Wind Parks	75
Reference Phasor-Based Data Self-Synchronization Scheme for Line Current Differential Protection in Active Distribution Networks	75
Primary Frequency Control of Multiple ON/OFF Load Clusters Considering Capacity Uncertainty and Lock-Time Constraint	73
Comparisons of Auction Designs Through Multiagent Learning in Peer-to-Peer Energy Trading	72