OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Smart Grid is 71. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Peer-to-Peer Trading in Electricity Networks: An Overview	471
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids	368
A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management	215
Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning	195
Peer-to-Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees	174
Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review	153
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems	151
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model	151
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings	148
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning	146
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids	139
Coordinated Market Design for Peer-to-Peer Energy Trade and Ancillary Services in Distribution Grids	134
Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids	130
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems	129
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach	127
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation	118
Seamless Transition of Microgrids Operation From Grid-Connected to Islanded Mode	117
Stochastic Distributed Secondary Control for AC Microgrids via Event-Triggered Communication	116
Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method	115
Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning	114
A Cyber-Attack Resilient Distributed Control Strategy in Islanded Microgrids	112
On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks	112
Line Impedance Cooperative Stability Region Identification Method for Grid-Tied Inverters Under Weak Grids	111
Integrating P2P Energy Trading With Probabilistic Distribution Locational Marginal Pricing	110
A New and Fair Peer-to-Peer Energy Sharing Framework for Energy Buildings	107

Real-Time Residential Demand Response	107
Deep Reinforcement Learning Method for Demand Response Management of Interruptible Load	107
The Utilization of Shared Energy Storage in Energy Systems: A Comprehensive Review	106
Hierarchically-Coordinated Voltage/VAR Control of Distribution Networks Using PV Inverters	105
Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models	103
Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm	103
Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation	103
Distributed Adaptive Robust Voltage/VAR Control With Network Partition in Active Distribution Networks	98
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads	94
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach	94
Enhanced Coordinated Operations of Electric Power and Transportation Networks via EV Charging Services	93
Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning	92
Robust Coordination of a Hybrid AC/DC Multi-Energy Ship Microgrid With Flexible Voyage and Thermal Loads	92
Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems	90
Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction	90
A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning	89
Electricity Consumer Characteristics Identification: A Federated Learning Approach	89
Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints	89
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges	88
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method	87
Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids	84
Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs	82
Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty	81
Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks	80
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia	80
Resilient Control and Analysis for DC Microgrid System Under DoS and Impulsive FDI Attacks	79
An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading	78
Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids	78
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration	77
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks	77
Multi-Agent Based Attack-Resilient System Integrity Protection for Smart Grid	77
A FDI Attack-Resilient Distributed Secondary Control Strategy for Islanded Microgrids	77
Optimal Pricing of Public Electric Vehicle Charging Stations Considering Operations of Coupled Transportation and Power Systems	76
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks	75
An Adaptive Virtual Impedance Control for Improving Power Sharing Among Inverters in Islanded AC Microgrids	75
A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks	75
A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System	75
Intrusion Detection for Cybersecurity of Smart Meters	74
Demand-Side Management With Shared Energy Storage System in Smart Grid	74
Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable?	74
Incentive-Based Integrated Demand Response for Multiple Energy Carriers Considering Behavioral Coupling Effect of Consumers	74
MDP-Based Distribution Network Reconfiguration With Renewable Distributed Generation: Approximate Dynamic Programming Approach	73
Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors	72
An Iterative Two-Layer Optimization Charging and Discharging Trading Scheme for Electric Vehicle Using Consortium Blockchain	72
Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices	72
Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach	72
A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework	71
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs	71