IEEE Transactions on Smart Grid

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
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia	100
Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids	100
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks	99

Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration	98
Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs	98
A FDI Attack-Resilient Distributed Secondary Control Strategy for Islanded Microgrids	97
Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids	97
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
A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks	96
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs	95
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
An Overview of Soft Open Points in Electricity Distribution Networks	94
Aggregate Flexibility of Virtual Power Plants With Temporal Coupling Constraints	93
A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System	92
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning	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
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
Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids	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
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost	78
A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters	78
Deep Reinforcement Learning for Demand Response in Distribution Networks	77
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
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
Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index	75
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
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
Frequency Regulation in Isolated Microgrids Through Optimal Droop Gain and Voltage Control	73
Optimal Energy Management for Multi-Microgrid Under a Transactive Energy Framework With Distributionally Robust Optimization	71
Two-Stage Deep Reinforcement Learning for Inverter-Based Volt-VAR Control in Active Distribution Networks	71

A Novel Fault Location Methodology for Smart Distribution Networks	71
Multi-Round Double Auction-Enabled Peer-to-Peer Energy Exchange in Active Distribution Networks	70
Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm	70
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning	70
Two-Stage Decoupled Estimation Approach of Aggregated Baseline Load Under High Penetration of Behind-the-Meter PV System	69
Peer-to-Peer Control for Networked Microgrids: Multi-Layer and Multi-Agent Architecture Design	69
Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System	69
Online Multi-Agent Reinforcement Learning for Decentralized Inverter-Based Volt-VAR Control	69
Community Energy Cooperation With the Presence of Cheating Behaviors	68
A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems	66
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration	66
Deep Reinforcement Learning-Based Approach for Proportional Resonance Power System Stabilizer to Prevent Ultra-Low-Frequency Oscillations	66
Coordinated Control of Air-Conditioning Loads for System Frequency Regulation	66
Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management	66
Toward Load Identification Based on the Hilbert Transform and Sequence to Sequence Long Short-Term Memory	65
On the Impact of Fault Ride-Through on Transient Stability of Autonomous Microgrids: Nonlinear Analysis and Solution	65
Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning	64
Primary Frequency Control in Isolated Microgrids Using Thermostatically Controllable Loads	64
Coordinated Energy Management of Prosumers in a Distribution System Considering Network Congestion	64
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems	64
Distributionally Robust Optimal Power Flow in Multi-Microgrids With Decomposition and Guaranteed Convergence	62
Multi-Objective Adaptive Robust Voltage/VAR Control for High-PV Penetrated Distribution Networks	62
A Cooperative Hierarchical Multi-Agent System for EV Charging Scheduling in Presence of Multiple Charging Stations	62
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model	61
Reserve Model of Energy Storage in Day-Ahead Joint Energy and Reserve Markets: A Stochastic UC Solution	61
Sequential Disaster Recovery Model for Distribution Systems With Co-Optimization of Maintenance and Restoration Crew Dispatch	61
Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP	61
Bi-Level Robust Optimization for Distribution System With Multiple Microgrids Considering Uncertainty Distribution Locational Marginal Price	61
Optimal Sharing and Fair Cost Allocation of Community Energy Storage	61
Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment	60
Evaluating the Dispatchable Capacity of Base Station Backup Batteries in Distribution Networks	60
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation	60
A Novel Energy Trading Framework Using Adapted Blockchain Technology	60
A Scalable and Distributed Algorithm for Managing Residential Demand Response Programs Using Alternating Direction Method of Multipliers (ADMM)	60
Buffered-Microgrid Structure for Future Power Networks; a Seamless Microgrid Control	59
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids	59
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections	59
Resilient Restoration of Distribution Systems in Coordination With Electric Bus Scheduling	59
DC Shipboard Microgrids With Constant Power Loads: A Review of Advanced Nonlinear Control Strategies and Stabilization Techniques	58
A Robust Spatiotemporal Forecasting Framework for Photovoltaic Generation	57
Co-Estimation of State and FDI Attacks and Attack Compensation Control for Multi-Area Load Frequency Control Systems Under FDI and DoS Attacks	57
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks	56
Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers	56
Deep Reinforcement Learning-Based Model-Free On-Line Dynamic Multi-Microgrid Formation to Enhance Resilience	56
An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration	56
Multi-Stage Multi-Zone Defender-Attacker-Defender Model for Optimal Resilience Strategy With Distribution Line Hardening and Energy Storage System Deployment	56
Game Theoretic-Based Distributed Charging Strategy for PEVs in a Smart Charging Station	55
Optimal Policy Characterization Enhanced Actor-Critic Approach for Electric Vehicle Charging Scheduling in a Power Distribution Network	55
Dynamic Event-Based Model Predictive Load Frequency Control for Power Systems Under Cyber Attacks	55
A Dynamic Equivalent Model for District Heating Networks: Formulation, Existence and Application in Distributed Electricity-Heat Operation	54
Fast Grid Frequency and Voltage Control of Battery Energy Storage System Based on the Amplitude-Phase-Locked-Loop	54
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications	54
Mechanism Design for Fair and Efficient DSO Flexibility Markets	53
Stochastic Scheduling of Mobile Energy Storage in Coupled Distribution and Transportation Networks for Conversion Capacity Enhancement	53
Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids	53
Transient Stability and Current Injection Design of Paralleled Current-Controlled VSCs and Virtual Synchronous Generators	53
Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation	53
Voltage-Based Distributed Optimal Control for Generation Cost Minimization and Bounded Bus Voltage Regulation in DC Microgrids	53
Online Optimization for Networked Distributed Energy Resources With Time-Coupling Constraints	53
Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization	53
Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems Against DoS Attacks	53
A Hybrid Islanding Detection Method Based on the Rates of Changes in Voltage and Active Power for the Multi-Inverter Systems	52
Deep Reinforcement Learning-Based Controller for SOC Management of Multi-Electrical Energy Storage System	52
Full-Scale Distribution System Topology Identification Using Markov Random Field	52
Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems	52
Resilient Distribution Networks by Microgrid Formation Using Deep Reinforcement Learning	52
Modeling of Time-Delayed Distributed Cyber-Physical Power Systems for Small-Signal Stability Analysis	52
Optimum Operation of Battery Storage System in Frequency Containment Reserves Markets	51
Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System	51
Distributed Robust Frequency Restoration and Active Power Sharing for Autonomous Microgrids With Event-Triggered Strategy	51
Market-Based Energy Management Model of a Building Microgrid Considering Battery Degradation	51
Distributed Dynamic Clustering Algorithm for Formation of Heterogeneous Virtual Power Plants Based on Power Requirements	50
Generalized Multivariable Grid-Forming Control Design for Power Converters	50
A Privacy-Preserving Homomorphic Scheme With Multiple Dimensions and Fault Tolerance for Metering Data Aggregation in Smart Grid	50
Aggregate Operation Model for Numerous Small-Capacity Distributed Energy Resources Considering Uncertainty	49
Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator	49
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems	48
Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning	48
A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints	48
Decentralized Coordination and Stabilization of Hybrid Energy Storage Systems in DC Microgrids	48

Data-Based Resilience Enhancement Strategies for Electric-Gas Systems Against Sequential Extreme Weather Events	48
An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation	48
A Privacy-Preserving Federated Learning Method for Probabilistic Community-Level Behind-the-Meter Solar Generation Disaggregation	47
Distributed Resilient Optimal Current Sharing Control for an Islanded DC Microgrid Under DoS Attacks	47
Wide-Area Measurement System-Based Low Frequency Oscillation Damping Control Through Reinforcement Learning	47
A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids	47
Converter-Based Moving Target Defense Against Deception Attacks in DC Microgrids	47
Stochastic Planning of Integrated Energy System via Frank-Copula Function and Scenario Reduction	47
Data-Driven False Data Injection Attacks Against Power Grids: A Random Matrix Approach	47
Data-Driven Wide-Area Model-Free Adaptive Damping Control With Communication Delays for Wind Farm	46
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles	46
Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications	46
Leveraging Network Topology Optimization to Strengthen Power Grid Resilience Against Cyber-Physical Attacks	46
Consensus Control for Coordinating Grid-Forming and Grid-Following Inverters in Microgrids	46
A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism	46
A Linear Branch Flow Model for Radial Distribution Networks and Its Application to Reactive Power Optimization and Network Reconfiguration	46
Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach	46
Two-Time-Scale Energy Management for Microgrids With Data-Based Day-Ahead Distributionally Robust Chance-Constrained Scheduling	46
A Cyber-Physical Anomaly Detection for Wide-Area Protection Using Machine Learning	46
On Dynamic Network Equilibrium of a Coupled Power and Transportation Network	45
Incipient Fault Identification in Power Distribution Systems via Human-Level Concept Learning	45
Two-Level Islanding Detection Method for Grid-Connected Photovoltaic System-Based Microgrid With Small Non-Detection Zone	45
Automated Determination of Topology and Line Parameters in Low Voltage Systems Using Smart Meters Measurements	45
Optimal Schedule for Networked Microgrids Under Deregulated Power Market Environment Using Model Predictive Control	45
Privacy-Preserving Distributed Economic Dispatch of Microgrids: A Dynamic Quantization-Based Consensus Scheme With Homomorphic Encryption	45
MPC-Based Decentralized Voltage Control in Power Distribution Systems With EV and PV Coordination	45
Distributionally Robust Frequency Constrained Scheduling for an Integrated Electricity-Gas System	45
A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays	45
Distributed Energy Scheduling for Integrated Energy System Clusters With Peer-to-Peer Energy Transaction	45
Gradient-Based Multi-Area Distribution System State Estimation	44
Distributed Consensus-Based Economic Dispatch in Power Grids Using the Paillier Cryptosystem	44
Observer-Based Resilient Integrated Distributed Control Against Cyberattacks on Sensors and Actuators in Islanded AC Microgrids	44
Disturbance Observer and Tube-Based Model Predictive Controlled Electric Vehicles for Frequency Regulation of an Isolated Power Grid	44
Peer-to-Peer Energy Trading Enabled Optimal Decentralized Operation of Smart Distribution Grids	44
Active Distribution Grids Providing Voltage Support: The Swiss Case	44
Credit-Based Peer-to-Peer Electricity Trading in Energy Blockchain Environment	44
A Detection Mechanism Against Load-Redistribution Attacks in Smart Grids	44
Temporal and Spectral Feature Learning With Two-Stream Convolutional Neural Networks for Appliance Recognition in NILM	43
Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization	43
A Methodology for Modeling Interoperability of Smart Sensors in Smart Grids	43
Scheduling of Separable Mobile Energy Storage Systems With Mobile Generators and Fuel Tankers to Boost Distribution System Resilience	43
Accurate Modeling of a Profit-Driven Power to Hydrogen and Methane Plant Toward Strategic Bidding Within Multi-Type Markets	43
Optimal Coordinated Operation of Interdependent Power and Water Distribution Systems	43
Deep Domain Adaptation for Non-Intrusive Load Monitoring Based on a Knowledge Transfer Learning Network	42
Hierarchical Blockchain Design for Distributed Control and Energy Trading Within Microgrids	42
Using OPF-Based Operating Envelopes to Facilitate Residential DER Services	42
Design of Setting Group-Based Overcurrent Protection Scheme for Active Distribution Networks Using MILP	42
An Active Distribution Network Equivalent Derived From Large-Disturbance Simulations With Uncertainty	42
Online Optimal Power Scheduling of a Microgrid via Imitation Learning	42
PEV Fast-Charging Station Sizing and Placement in Coupled Transportation-Distribution Networks Considering Power Line Conditioning Capability	42
DC Circuit Breakers: A Technology Development Status Survey	42
Online PMU-Based Wide-Area Damping Control for Multiple Inter-Area Modes	42
Real-Time Synchrophasor Data Anomaly Detection and Classification Using Isolation Forest, KMeans, and LoOP	41
Robust Hierarchical Control Mechanism for Aggregated Thermostatically Controlled Loads	41
Distribution Market-Clearing and Pricing Considering Coordination of DSOs and ISO: An EPEC Approach	41
Resilient Load Frequency Control of Islanded AC Microgrids Under Concurrent False Data Injection and Denial-of-Service Attacks	41
Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism	41
Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams	41
Energy Management and Control of a Flywheel Storage System for Peak Shaving Applications	41
Building Large-Scale U.S. Synthetic Electric Distribution System Models	41
Distribution System Resilience in Ice Storms by Optimal Routing of Mobile Devices on Congested Roads	41
Blockchain Based Secure Data Aggregation and Distributed Power Dispatching for Microgrids	41
Network Parameter Coordinated False Data Injection Attacks Against Power System AC State Estimation	41
Cross-Layer Distributed Control Strategy for Cyber Resilient Microgrids	41
Online Smart Meter Measurement Error Estimation Based on EKF and LMRLS Method	40
Transmission-and-Distribution Dynamic Co-Simulation Framework for Distributed Energy Resource Frequency Response	40
An MILP-Based Planning Model of a Photovoltaic/Diesel/Battery Stand-Alone Microgrid Considering the Reliability	40
Robust Regional Coordination of Inverter-Based Volt/Var Control via Multi-Agent Deep Reinforcement Learning	40
Efficient Assignment of Electric Vehicles to Charging Stations	40
Moving-Target Defense Against Cyber-Physical Attacks in Power Grids via Game Theory	40
Internet Data Center Load Modeling for Demand Response Considering the Coupling of Multiple Regulation Methods	40
A New Cooperative Framework for a Fair and Cost-Optimal Allocation of Resources Within a Low Voltage Electricity Community	40
A Unified Distributed Cooperative Control of DC Microgrids Using Consensus Protocol	39
Hydraulic-Thermal Cooperative Optimization of Integrated Energy Systems: A Convex Optimization Approach	39
Forecast-Based Consensus Control for DC Microgrids Using Distributed Long Short-Term Memory Deep Learning Models	39
Optimal Switch Placement in Distribution Systems: A High-Accuracy MILP Formulation	39
Optimal DG Allocation and Volt–Var Dispatch for a Droop-Based Microgrid	39
Current Injection Power Flow Analysis and Optimal Generation Dispatch for Bipolar DC Microgrids	39
Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks	39
WECC Composite Load Model Parameter Identification Using Evolutionary Deep Reinforcement Learning	38
Incentives to Manipulate Demand Response Baselines With Uncertain Event Schedules	38
Optimal Reserve Management of Electric Vehicle Aggregator: Discrete Bilevel Optimization Model and Exact Algorithm	38
Multi-Objective Hierarchically-Coordinated Volt/Var Control for Active Distribution Networks With Droop-Controlled PV Inverters	38
Data-Driven Risk-Adjusted Robust Energy Management for Microgrids Integrating Demand Response Aggregator and Renewable Energies	38
Distributed Control of Multi-Energy Storage Systems for Voltage Regulation in Distribution Networks: A Back-and-Forth Communication Framework	38
Optimal Operation of Regional Microgrids With Renewable and Energy Storage: Solution Robustness and Nonanticipativity Against Uncertainties	38
Joint Topology Identification and State Estimation in Unobservable Distribution Grids	38
Federated Reinforcement Learning for Decentralized Voltage Control in Distribution Networks	38
Scenario-Based Stochastic Optimization for Energy and Flexibility Dispatch of a Microgrid	38
TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks	38
Automated Control of Transactive HVACs in Energy Distribution Systems	38
Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings	37
Efficient Real-Time EV Charging Scheduling via Ordinal Optimization	37
A Reinforcement Learning-Based Decision System for Electricity Pricing Plan Selection by Smart Grid End Users	37
Incentive-Based Integrated Demand Response Considering S&C Effect in Demand Side With Incomplete Information	37