IEEE Transactions on Smart Grid

Article	Citations
Peer-to-Peer Trading in Electricity Networks: An Overview	506
A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management	232
Peer-to-Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees	198
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model	174
Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review	174
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems	163
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids	159
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings	158
Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids	151
Coordinated Market Design for Peer-to-Peer Energy Trade and Ancillary Services in Distribution Grids	148
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems	145
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach	144
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation	131
The Utilization of Shared Energy Storage in Energy Systems: A Comprehensive Review	130
Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method	130
On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks	123
Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning	123
A New and Fair Peer-to-Peer Energy Sharing Framework for Energy Buildings	121
A Cyber-Attack Resilient Distributed Control Strategy in Islanded Microgrids	120
Deep Reinforcement Learning Method for Demand Response Management of Interruptible Load	120
Stochastic Distributed Secondary Control for AC Microgrids via Event-Triggered Communication	119
Real-Time Residential Demand Response	118
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges	117
Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation	117
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach	117

Line Impedance Cooperative Stability Region Identification Method for Grid-Tied Inverters Under Weak Grids	116
Integrating P2P Energy Trading With Probabilistic Distribution Locational Marginal Pricing	116
Hierarchically-Coordinated Voltage/VAR Control of Distribution Networks Using PV Inverters	114
Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models	109
Enhanced Coordinated Operations of Electric Power and Transportation Networks via EV Charging Services	109
Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm	108
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method	104
Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints	103
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads	103
Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems	100
Electricity Consumer Characteristics Identification: A Federated Learning Approach	99
Robust Coordination of a Hybrid AC/DC Multi-Energy Ship Microgrid With Flexible Voyage and Thermal Loads	99
Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning	98
Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids	95
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks	94
A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning	94
Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction	94
Optimal Pricing of Public Electric Vehicle Charging Stations Considering Operations of Coupled Transportation and Power Systems	94
Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty	91
Resilient Control and Analysis for DC Microgrid System Under DoS and Impulsive FDI Attacks	90
A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks	90
Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids	90
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks	89
Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs	88
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia	88
An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading	87
Aggregate Flexibility of Virtual Power Plants With Temporal Coupling Constraints	87
A FDI Attack-Resilient Distributed Secondary Control Strategy for Islanded Microgrids	87
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration	86
Demand-Side Management With Shared Energy Storage System in Smart Grid	85
Multi-Agent Based Attack-Resilient System Integrity Protection for Smart Grid	83
An Overview of Soft Open Points in Electricity Distribution Networks	82
A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework	82
Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach	82
Intrusion Detection for Cybersecurity of Smart Meters	82
Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices	81
Incentive-Based Integrated Demand Response for Multiple Energy Carriers Considering Behavioral Coupling Effect of Consumers	81
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning	81
Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable?	81
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs	81
Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors	80
An Adaptive Virtual Impedance Control for Improving Power Sharing Among Inverters in Islanded AC Microgrids	80
MDP-Based Distribution Network Reconfiguration With Renewable Distributed Generation: Approximate Dynamic Programming Approach	80
A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System	78
A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters	76
MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids	76
Robust Load Frequency Control of Power Systems Against Random Time-Delay Attacks	75
Uncertainty-Aware Deployment of Mobile Energy Storage Systems for Distribution Grid Resilience	74
Distributed Coordinated Reactive Power Control for Voltage Regulation in Distribution Networks	74
A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router	74

On the Fairness of PV Curtailment Schemes in Residential Distribution Networks	73
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting	73
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost	72
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring	72
Coordinated Planning of Transportation and Electric Power Networks With the Proliferation of Electric Vehicles	72
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids	72
Switch Opening and Exchange Method for Stochastic Distribution Network Reconfiguration	72
Resilience Assessment and Improvement for Cyber-Physical Power Systems Under Typhoon Disasters	71
A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty	71
Bargaining Game-Based Profit Allocation of Virtual Power Plant in Frequency Regulation Market Considering Battery Cycle Life	71
Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration	71
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging	71
Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty	70
Plug-in Electric Vehicle Behavior Modeling in Energy Market: A Novel Deep Learning-Based Approach With Clustering Technique	70
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading	70
Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index	69
Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids	69
Deep Reinforcement Learning for Demand Response in Distribution Networks	69
H ∞-Control of Grid-Connected Converters: Design, Objectives and Decentralized Stability Certificates	69
Mobile Emergency Generator Planning in Resilient Distribution Systems: A Three-Stage Stochastic Model With Nonanticipativity Constraints	68
Frequency Disturbance Event Detection Based on Synchrophasors and Deep Learning	67
Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects	67
A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System	67
Microgrid Protection and Control Schemes for Seamless Transition to Island and Grid Synchronization	67
Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach	67
A New Method for Peer Matching and Negotiation of Prosumers in Peer-to-Peer Energy Markets	67
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning	67
Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System	66
Frequency Regulation in Isolated Microgrids Through Optimal Droop Gain and Voltage Control	66
Multi-Resource Allocation of Shared Energy Storage: A Distributed Combinatorial Auction Approach	66
A Novel Fault Location Methodology for Smart Distribution Networks	66
Non-Intrusive Load Monitoring: A Review	66
Distributed Resilient Secondary Control of DC Microgrids Against Unbounded Attacks	66
Grid-Forming Inverter Enabled Virtual Power Plants With Inertia Support Capability	65
A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy	65
Power System Parameter Attack for Financial Profits in Electricity Markets	65
Optimal Energy Management for Multi-Microgrid Under a Transactive Energy Framework With Distributionally Robust Optimization	64
Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data	64
Event Trigger Super Twisting Sliding Mode Control for DC Micro Grid With Matched/Unmatched Disturbance Observer	64
Peer-to-Peer Control for Networked Microgrids: Multi-Layer and Multi-Agent Architecture Design	64
Deep Reinforcement Learning-Based Approach for Proportional Resonance Power System Stabilizer to Prevent Ultra-Low-Frequency Oscillations	63
Coordinated Control of Air-Conditioning Loads for System Frequency Regulation	63
Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management	63
Power and Transport Nexus: Routing Electric Vehicles to Promote Renewable Power Integration	63
Community Energy Cooperation With the Presence of Cheating Behaviors	62
Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm	62
Multi-Round Double Auction-Enabled Peer-to-Peer Energy Exchange in Active Distribution Networks	62
Two-Stage Deep Reinforcement Learning for Inverter-Based Volt-VAR Control in Active Distribution Networks	62
Online Multi-Agent Reinforcement Learning for Decentralized Inverter-Based Volt-VAR Control	62
Voltage Control for Distribution Networks via Coordinated Regulation of Active and Reactive Power of DGs	62
Two-Stage Decoupled Estimation Approach of Aggregated Baseline Load Under High Penetration of Behind-the-Meter PV System	62
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model	61
Coordinated Energy Management of Prosumers in a Distribution System Considering Network Congestion	61
On the Impact of Fault Ride-Through on Transient Stability of Autonomous Microgrids: Nonlinear Analysis and Solution	61
A Distributed and Robust Energy Management System for Networked Hybrid AC/DC Microgrids	61
Distributed Secondary Voltage Control in Islanded Microgrids With Consideration of Communication Network and Time Delays	61
Model-Free Data Authentication for Cyber Security in Power Systems	60
Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning	60
Reserve Model of Energy Storage in Day-Ahead Joint Energy and Reserve Markets: A Stochastic UC Solution	60
Primary Frequency Control in Isolated Microgrids Using Thermostatically Controllable Loads	59
Information Gap Decision Theory-Based Active Distribution System Planning for Resilience Enhancement	59
Distributionally Robust Optimal Power Flow in Multi-Microgrids With Decomposition and Guaranteed Convergence	59
A Scalable and Distributed Algorithm for Managing Residential Demand Response Programs Using Alternating Direction Method of Multipliers (ADMM)	58
Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment	58
Bi-Level Robust Optimization for Distribution System With Multiple Microgrids Considering Uncertainty Distribution Locational Marginal Price	57
A Novel Energy Trading Framework Using Adapted Blockchain Technology	57
Toward Load Identification Based on the Hilbert Transform and Sequence to Sequence Long Short-Term Memory	57
Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP	57
Sequential Disaster Recovery Model for Distribution Systems With Co-Optimization of Maintenance and Restoration Crew Dispatch	57
Resilient Networked AC Microgrids Under Unbounded Cyber Attacks	56
Multi-Objective Adaptive Robust Voltage/VAR Control for High-PV Penetrated Distribution Networks	56
BiLSTM Multitask Learning-Based Combined Load Forecasting Considering the Loads Coupling Relationship for Multienergy System	56
Resilient Restoration of Distribution Systems in Coordination With Electric Bus Scheduling	56
Evaluating the Dispatchable Capacity of Base Station Backup Batteries in Distribution Networks	55
An Integrated Scheme for Online Dynamic Security Assessment Based on Partial Mutual Information and Iterated Random Forest	55
Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks	55
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems	54
Decentralized Networked Load Frequency Control in Interconnected Power Systems Based on Stochastic Jump System Theory	54
A Regret-Based Stochastic Bi-Level Framework for Scheduling of DR Aggregator Under Uncertainties	54
Buffered-Microgrid Structure for Future Power Networks; a Seamless Microgrid Control	54

Electric Vehicle Aggregator Modeling and Control for Frequency Regulation Considering Progressive State Recovery	53
A Robust Spatiotemporal Forecasting Framework for Photovoltaic Generation	53
Optimal Sharing and Fair Cost Allocation of Community Energy Storage	53
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids	53
Dynamic Event-Based Model Predictive Load Frequency Control for Power Systems Under Cyber Attacks	52
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration	52
Multi-Stage Multi-Zone Defender-Attacker-Defender Model for Optimal Resilience Strategy With Distribution Line Hardening and Energy Storage System Deployment	52
Game Theoretic-Based Distributed Charging Strategy for PEVs in a Smart Charging Station	52
A Distributed EV Navigation Strategy Considering the Interaction Between Power System and Traffic Network	51
An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration	51
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections	51
Fast Grid Frequency and Voltage Control of Battery Energy Storage System Based on the Amplitude-Phase-Locked-Loop	51
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications	50
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation	50
A Cooperative Hierarchical Multi-Agent System for EV Charging Scheduling in Presence of Multiple Charging Stations	50
Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation	50
Mechanism Design for Fair and Efficient DSO Flexibility Markets	50
Centralised and Distributed Optimization for Aggregated Flexibility Services Provision	50
Transactive Energy Based Aggregation of Prosumers as a Retailer	50
Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems Against DoS Attacks	50
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks	50
Optimal Policy Characterization Enhanced Actor-Critic Approach for Electric Vehicle Charging Scheduling in a Power Distribution Network	50
Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers	50
Deep Reinforcement Learning-Based Controller for SOC Management of Multi-Electrical Energy Storage System	50
DC Shipboard Microgrids With Constant Power Loads: A Review of Advanced Nonlinear Control Strategies and Stabilization Techniques	49
Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids	49
Full-Scale Distribution System Topology Identification Using Markov Random Field	49
Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems	49
Online Optimization for Networked Distributed Energy Resources With Time-Coupling Constraints	49
Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs	49
Voltage-Based Distributed Optimal Control for Generation Cost Minimization and Bounded Bus Voltage Regulation in DC Microgrids	49
A Privacy-Preserving Homomorphic Scheme With Multiple Dimensions and Fault Tolerance for Metering Data Aggregation in Smart Grid	48
A Supervised-Learning-Based Strategy for Optimal Demand Response of an HVAC System in a Multi-Zone Office Building	48
A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems	48
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication	48
Deep Reinforcement Learning-Based Model-Free On-Line Dynamic Multi-Microgrid Formation to Enhance Resilience	48
Optimum Operation of Battery Storage System in Frequency Containment Reserves Markets	48
An Energy Management System for Isolated Microgrids With Thermal Energy Resources	48
A Dynamic Equivalent Model for District Heating Networks: Formulation, Existence and Application in Distributed Electricity-Heat Operation	48
A Hybrid Islanding Detection Method Based on the Rates of Changes in Voltage and Active Power for the Multi-Inverter Systems	47
An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation	47
Transient Stability and Current Injection Design of Paralleled Current-Controlled VSCs and Virtual Synchronous Generators	47
Distributed Robust Frequency Restoration and Active Power Sharing for Autonomous Microgrids With Event-Triggered Strategy	47
Stochastic Scheduling of Mobile Energy Storage in Coupled Distribution and Transportation Networks for Conversion Capacity Enhancement	46
Modeling of Time-Delayed Distributed Cyber-Physical Power Systems for Small-Signal Stability Analysis	46
Distributed Dynamic Clustering Algorithm for Formation of Heterogeneous Virtual Power Plants Based on Power Requirements	46
A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints	46
Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System	46
Resilient H ∞ Consensus-Based Control of Autonomous AC Microgrids With Uncertain Time-Delayed Communications	45
Market-Based Energy Management Model of a Building Microgrid Considering Battery Degradation	45
Wide-Area Measurement System-Based Low Frequency Oscillation Damping Control Through Reinforcement Learning	45
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems	44
A Privacy-Preserving Federated Learning Method for Probabilistic Community-Level Behind-the-Meter Solar Generation Disaggregation	44
Two-Level Islanding Detection Method for Grid-Connected Photovoltaic System-Based Microgrid With Small Non-Detection Zone	44
Two-Time-Scale Energy Management for Microgrids With Data-Based Day-Ahead Distributionally Robust Chance-Constrained Scheduling	44
Reliability Modeling and Assessment of Cyber Space in Cyber-Physical Power Systems	44
Aggregate Operation Model for Numerous Small-Capacity Distributed Energy Resources Considering Uncertainty	44
A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids	44
Modelling and Control of Ensembles of Variable-Speed Air Conditioning Loads for Demand Response	44
A Cyber-Physical Anomaly Detection for Wide-Area Protection Using Machine Learning	44
Data-Based Resilience Enhancement Strategies for Electric-Gas Systems Against Sequential Extreme Weather Events	44
Deployment of the Electric Vehicle Charging Station Considering Existing Competitors	44
Resilient Distribution Networks by Microgrid Formation Using Deep Reinforcement Learning	44
Decentralized Coordination and Stabilization of Hybrid Energy Storage Systems in DC Microgrids	44
Co-Estimation of State and FDI Attacks and Attack Compensation Control for Multi-Area Load Frequency Control Systems Under FDI and DoS Attacks	44
Automated Determination of Topology and Line Parameters in Low Voltage Systems Using Smart Meters Measurements	44
A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays	43
Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator	43
Generalized Multivariable Grid-Forming Control Design for Power Converters	43
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles	43
Credit-Based Peer-to-Peer Electricity Trading in Energy Blockchain Environment	43
Incipient Fault Identification in Power Distribution Systems via Human-Level Concept Learning	43
Consensus Control for Coordinating Grid-Forming and Grid-Following Inverters in Microgrids	43
Optimal Schedule for Networked Microgrids Under Deregulated Power Market Environment Using Model Predictive Control	42
Distributed Resilient Optimal Current Sharing Control for an Islanded DC Microgrid Under DoS Attacks	42
A Detection Mechanism Against Load-Redistribution Attacks in Smart Grids	42
Optimal Combination of Frequency Control and Peak Shaving With Battery Storage Systems	42
Design of Setting Group-Based Overcurrent Protection Scheme for Active Distribution Networks Using MILP	42
A Linear Branch Flow Model for Radial Distribution Networks and Its Application to Reactive Power Optimization and Network Reconfiguration	42
Gradient-Based Multi-Area Distribution System State Estimation	42
Peer-to-Peer Energy Trading Enabled Optimal Decentralized Operation of Smart Distribution Grids	42
Real-Time Synchrophasor Data Anomaly Detection and Classification Using Isolation Forest, KMeans, and LoOP	41
Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications	41
Data-Driven Wide-Area Model-Free Adaptive Damping Control With Communication Delays for Wind Farm	41
MPC-Based Decentralized Voltage Control in Power Distribution Systems With EV and PV Coordination	41
A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism	41
Active Distribution Grids Providing Voltage Support: The Swiss Case	41
Data-Driven False Data Injection Attacks Against Power Grids: A Random Matrix Approach	41
Disturbance Observer and Tube-Based Model Predictive Controlled Electric Vehicles for Frequency Regulation of an Isolated Power Grid	40
Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning	40
On Dynamic Network Equilibrium of a Coupled Power and Transportation Network	40
Two-Stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach	40
Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems	40
Building Large-Scale U.S. Synthetic Electric Distribution System Models	40
Cross-Layer Distributed Control Strategy for Cyber Resilient Microgrids	40