OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Smart Grid is 73. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Peer-to-Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees	208
Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review	181
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings	177
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids	169
Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids	164
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach	158
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems	157
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach	151
The Utilization of Shared Energy Storage in Energy Systems: A Comprehensive Review	148
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges	140
On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks	128
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method	125
Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm	114
Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints	113
Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems	110
Electricity Consumer Characteristics Identification: A Federated Learning Approach	107
Optimal Pricing of Public Electric Vehicle Charging Stations Considering Operations of Coupled Transportation and Power Systems	106
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks	103
Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning	103
A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning	102
Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty	101
Distributed Three-Phase Power Flow for AC/DC Hybrid Networked Microgrids Considering Converter Limiting Constraints	101
Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids	100
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia	100
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks	99

Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs	98
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration	98
A FDI Attack-Resilient Distributed Secondary Control Strategy for Islanded Microgrids	97
Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids	97
A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks	96
Resilient Control and Analysis for DC Microgrid System Under DoS and Impulsive FDI Attacks	96
An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading	96
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs	95
An Overview of Soft Open Points in Electricity Distribution Networks	94
Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices	94
Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors	94
Aggregate Flexibility of Virtual Power Plants With Temporal Coupling Constraints	93
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning	92
A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System	92
Intrusion Detection for Cybersecurity of Smart Meters	91
Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable?	89
A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework	89
Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach	88
Uncertainty-Aware Deployment of Mobile Energy Storage Systems for Distribution Grid Resilience	87
An Adaptive Virtual Impedance Control for Improving Power Sharing Among Inverters in Islanded AC Microgrids	85
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting	84
Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty	83
Non-Intrusive Load Monitoring: A Review	83
Resilience Assessment and Improvement for Cyber-Physical Power Systems Under Typhoon Disasters	83
Bargaining Game-Based Profit Allocation of Virtual Power Plant in Frequency Regulation Market Considering Battery Cycle Life	82
Distributed Coordinated Reactive Power Control for Voltage Regulation in Distribution Networks	81
A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System	81
Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids	80
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging	80
MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids	80
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading	80
Robust Load Frequency Control of Power Systems Against Random Time-Delay Attacks	79
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring	79
A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters	78
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost	78
Deep Reinforcement Learning for Demand Response in Distribution Networks	77
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids	76
Mobile Emergency Generator Planning in Resilient Distribution Systems: A Three-Stage Stochastic Model With Nonanticipativity Constraints	76
Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach	76
A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router	76
Grid-Forming Inverter Enabled Virtual Power Plants With Inertia Support Capability	76
Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index	75
Plug-in Electric Vehicle Behavior Modeling in Energy Market: A Novel Deep Learning-Based Approach With Clustering Technique	74
A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy	74
BiLSTM Multitask Learning-Based Combined Load Forecasting Considering the Loads Coupling Relationship for Multienergy System	74
A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty	74
A New Method for Peer Matching and Negotiation of Prosumers in Peer-to-Peer Energy Markets	74
Frequency Regulation in Isolated Microgrids Through Optimal Droop Gain and Voltage Control	73