IEEE Transactions on Smart Grid

Papers
(The median citation count of IEEE Transactions on Smart Grid is 8. 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.)
ArticleCitations
Peer-to-Peer Trading in Electricity Networks: An Overview471
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids368
A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management215
Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning195
Peer-to-Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees174
Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review153
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems151
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model151
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings148
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning146
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids139
Coordinated Market Design for Peer-to-Peer Energy Trade and Ancillary Services in Distribution Grids134
Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids130
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems129
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach127
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation118
Seamless Transition of Microgrids Operation From Grid-Connected to Islanded Mode117
Stochastic Distributed Secondary Control for AC Microgrids via Event-Triggered Communication116
Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method115
Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning114
On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks112
A Cyber-Attack Resilient Distributed Control Strategy in Islanded Microgrids112
Line Impedance Cooperative Stability Region Identification Method for Grid-Tied Inverters Under Weak Grids111
Integrating P2P Energy Trading With Probabilistic Distribution Locational Marginal Pricing110
Real-Time Residential Demand Response107
Deep Reinforcement Learning Method for Demand Response Management of Interruptible Load107
A New and Fair Peer-to-Peer Energy Sharing Framework for Energy Buildings107
The Utilization of Shared Energy Storage in Energy Systems: A Comprehensive Review106
Hierarchically-Coordinated Voltage/VAR Control of Distribution Networks Using PV Inverters105
Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm103
Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation103
Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models103
Distributed Adaptive Robust Voltage/VAR Control With Network Partition in Active Distribution Networks98
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads94
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach94
Enhanced Coordinated Operations of Electric Power and Transportation Networks via EV Charging Services93
Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning92
Robust Coordination of a Hybrid AC/DC Multi-Energy Ship Microgrid With Flexible Voyage and Thermal Loads92
Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems90
Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction90
A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning89
Electricity Consumer Characteristics Identification: A Federated Learning Approach89
Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints89
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges88
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method87
Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids84
Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs82
Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty81
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia80
Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks80
Resilient Control and Analysis for DC Microgrid System Under DoS and Impulsive FDI Attacks79
Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids78
An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading78
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks77
Multi-Agent Based Attack-Resilient System Integrity Protection for Smart Grid77
A FDI Attack-Resilient Distributed Secondary Control Strategy for Islanded Microgrids77
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration77
Optimal Pricing of Public Electric Vehicle Charging Stations Considering Operations of Coupled Transportation and Power Systems76
A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks75
A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System75
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks75
An Adaptive Virtual Impedance Control for Improving Power Sharing Among Inverters in Islanded AC Microgrids75
Demand-Side Management With Shared Energy Storage System in Smart Grid74
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 Consumers74
Intrusion Detection for Cybersecurity of Smart Meters74
MDP-Based Distribution Network Reconfiguration With Renewable Distributed Generation: Approximate Dynamic Programming Approach73
Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors72
An Iterative Two-Layer Optimization Charging and Discharging Trading Scheme for Electric Vehicle Using Consortium Blockchain72
Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices72
Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach72
A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework71
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs71
Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning70
Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration70
A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters70
Robust Load Frequency Control of Power Systems Against Random Time-Delay Attacks70
Enhancing Distribution System Resilience With Proactive Islanding and RCS-Based Fast Fault Isolation and Service Restoration69
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning68
H -Control of Grid-Connected Converters: Design, Objectives and Decentralized Stability Certificates68
A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router68
On the Fairness of PV Curtailment Schemes in Residential Distribution Networks68
MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids67
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring67
Coordinated Planning of Transportation and Electric Power Networks With the Proliferation of Electric Vehicles67
Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning67
An Overview of Soft Open Points in Electricity Distribution Networks67
Switch Opening and Exchange Method for Stochastic Distribution Network Reconfiguration67
Uncertainty-Aware Deployment of Mobile Energy Storage Systems for Distribution Grid Resilience66
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids65
Distributed Coordinated Reactive Power Control for Voltage Regulation in Distribution Networks65
Bargaining Game-Based Profit Allocation of Virtual Power Plant in Frequency Regulation Market Considering Battery Cycle Life65
Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index65
Aggregate Flexibility of Virtual Power Plants With Temporal Coupling Constraints64
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning64
Frequency Disturbance Event Detection Based on Synchrophasors and Deep Learning64
Microgrid Protection and Control Schemes for Seamless Transition to Island and Grid Synchronization64
Plug-in Electric Vehicle Behavior Modeling in Energy Market: A Novel Deep Learning-Based Approach With Clustering Technique63
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging63
A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty63
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost63
Frequency Regulation in Isolated Microgrids Through Optimal Droop Gain and Voltage Control63
Distributed Secondary Control for Current Sharing and Voltage Restoration in DC Microgrid63
Power System Parameter Attack for Financial Profits in Electricity Markets63
Distributed Resilient Secondary Control of DC Microgrids Against Unbounded Attacks63
A Novel Fault Location Methodology for Smart Distribution Networks62
Detection and Mitigation of Data Manipulation Attacks in AC Microgrids61
Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data61
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading61
Mobile Emergency Generator Planning in Resilient Distribution Systems: A Three-Stage Stochastic Model With Nonanticipativity Constraints61
Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach61
Hierarchical Scheduling of Aggregated TCL Flexibility for Transactive Energy in Power Systems60
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting60
Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects60
Deep Reinforcement Learning for Demand Response in Distribution Networks60
Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach60
Model-Free Data Authentication for Cyber Security in Power Systems59
Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System59
Deep Reinforcement Learning-Based Approach for Proportional Resonance Power System Stabilizer to Prevent Ultra-Low-Frequency Oscillations59
Multi-Resource Allocation of Shared Energy Storage: A Distributed Combinatorial Auction Approach58
Peer-to-Peer Control for Networked Microgrids: Multi-Layer and Multi-Agent Architecture Design58
Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids58
Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management58
Event Trigger Super Twisting Sliding Mode Control for DC Micro Grid With Matched/Unmatched Disturbance Observer57
Online Control and Near-Optimal Algorithm for Distributed Energy Storage Sharing in Smart Grid57
A New Method for Peer Matching and Negotiation of Prosumers in Peer-to-Peer Energy Markets57
Cooperative Fault-Tolerant Control of Microgrids Under Switching Communication Topology57
Voltage Control for Distribution Networks via Coordinated Regulation of Active and Reactive Power of DGs57
Distributionally Robust Optimal Power Flow in Multi-Microgrids With Decomposition and Guaranteed Convergence57
Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm57
Optimal Energy Management for Multi-Microgrid Under a Transactive Energy Framework With Distributionally Robust Optimization56
Resilience Assessment and Improvement for Cyber-Physical Power Systems Under Typhoon Disasters56
A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System56
Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty56
Two-Stage Decoupled Estimation Approach of Aggregated Baseline Load Under High Penetration of Behind-the-Meter PV System56
A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy55
Distributed Secondary Voltage Control in Islanded Microgrids With Consideration of Communication Network and Time Delays55
An Energy Sharing Game With Generalized Demand Bidding: Model and Properties55
A Distributed and Robust Energy Management System for Networked Hybrid AC/DC Microgrids55
A Scalable and Distributed Algorithm for Managing Residential Demand Response Programs Using Alternating Direction Method of Multipliers (ADMM)54
Power and Transport Nexus: Routing Electric Vehicles to Promote Renewable Power Integration54
Coordinated Energy Management of Prosumers in a Distribution System Considering Network Congestion54
Resilient Networked AC Microgrids Under Unbounded Cyber Attacks54
Two-Stage Deep Reinforcement Learning for Inverter-Based Volt-VAR Control in Active Distribution Networks53
Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment53
Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning53
Community Energy Cooperation With the Presence of Cheating Behaviors53
Online Multi-Agent Reinforcement Learning for Decentralized Inverter-Based Volt-VAR Control53
On the Impact of Fault Ride-Through on Transient Stability of Autonomous Microgrids: Nonlinear Analysis and Solution52
Decentralized Networked Load Frequency Control in Interconnected Power Systems Based on Stochastic Jump System Theory52
Multi-Objective Adaptive Robust Voltage/VAR Control for High-PV Penetrated Distribution Networks52
Grid-Forming Inverter Enabled Virtual Power Plants With Inertia Support Capability52
Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks52
Non-Intrusive Load Monitoring: A Review52
Reserve Model of Energy Storage in Day-Ahead Joint Energy and Reserve Markets: A Stochastic UC Solution52
A Novel Energy Trading Framework Using Adapted Blockchain Technology52
Bi-Level Robust Optimization for Distribution System With Multiple Microgrids Considering Uncertainty Distribution Locational Marginal Price52
Sequential Disaster Recovery Model for Distribution Systems With Co-Optimization of Maintenance and Restoration Crew Dispatch52
Primary Frequency Control in Isolated Microgrids Using Thermostatically Controllable Loads52
A Regret-Based Stochastic Bi-Level Framework for Scheduling of DR Aggregator Under Uncertainties52
Multi-Round Double Auction-Enabled Peer-to-Peer Energy Exchange in Active Distribution Networks51
Resilient Restoration of Distribution Systems in Coordination With Electric Bus Scheduling51
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model51
Characterizing the Reserve Provision Capability Area of Active Distribution Networks: A Linear Robust Optimization Method51
Buffered-Microgrid Structure for Future Power Networks; a Seamless Microgrid Control50
Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults50
Coordinated Control of Air-Conditioning Loads for System Frequency Regulation50
Information Gap Decision Theory-Based Active Distribution System Planning for Resilience Enhancement49
A Practical Secondary Frequency Control Strategy for Virtual Synchronous Generator49
Toward Load Identification Based on the Hilbert Transform and Sequence to Sequence Long Short-Term Memory49
Optimal Sharing and Fair Cost Allocation of Community Energy Storage49
Chance-Constrained Energy Management System for Power Grids With High Proliferation of Renewables and Electric Vehicles49
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections49
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids49
Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach48
Transactive Energy Based Aggregation of Prosumers as a Retailer48
Deep Reinforcement Learning-Based Controller for SOC Management of Multi-Electrical Energy Storage System48
Droop-Free Distributed Control for AC Microgrids With Precisely Regulated Voltage Variance and Admissible Voltage Profile Guarantees48
Electric Vehicle Aggregator Modeling and Control for Frequency Regulation Considering Progressive State Recovery48
An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration48
Online Optimization for Networked Distributed Energy Resources With Time-Coupling Constraints48
Matrix Completion for Low-Observability Voltage Estimation48
A Robust Spatiotemporal Forecasting Framework for Photovoltaic Generation48
Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP48
An Integrated Scheme for Online Dynamic Security Assessment Based on Partial Mutual Information and Iterated Random Forest47
Optimal Policy Characterization Enhanced Actor-Critic Approach for Electric Vehicle Charging Scheduling in a Power Distribution Network47
Fast Grid Frequency and Voltage Control of Battery Energy Storage System Based on the Amplitude-Phase-Locked-Loop47
Mechanism Design for Fair and Efficient DSO Flexibility Markets47
Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs46
Distributed Optimal Control of Energy Storages in a DC Microgrid With Communication Delay46
Dynamic Event-Based Model Predictive Load Frequency Control for Power Systems Under Cyber Attacks46
Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation46
A Distributed EV Navigation Strategy Considering the Interaction Between Power System and Traffic Network46
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications46
Game Theoretic-Based Distributed Charging Strategy for PEVs in a Smart Charging Station45
A Zeno-Free Event-Triggered Secondary Control for AC Microgrids45
Interval Overvoltage Risk Based PV Hosting Capacity Evaluation Considering PV and Load Uncertainties45
BiLSTM Multitask Learning-Based Combined Load Forecasting Considering the Loads Coupling Relationship for Multienergy System45
A Supervised-Learning-Based Strategy for Optimal Demand Response of an HVAC System in a Multi-Zone Office Building45
An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation45
Voltage-Based Distributed Optimal Control for Generation Cost Minimization and Bounded Bus Voltage Regulation in DC Microgrids45
An Energy Management System for Isolated Microgrids With Thermal Energy Resources45
Decentralized AC Optimal Power Flow for Integrated Transmission and Distribution Grids45
Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems Against DoS Attacks45
Full-Scale Distribution System Topology Identification Using Markov Random Field44
Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems44
A Dynamic Equivalent Model for District Heating Networks: Formulation, Existence and Application in Distributed Electricity-Heat Operation44
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication44
Optimum Operation of Battery Storage System in Frequency Containment Reserves Markets44
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration43
Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers43
Transient Stability and Current Injection Design of Paralleled Current-Controlled VSCs and Virtual Synchronous Generators43
Multi-Stage Multi-Zone Defender-Attacker-Defender Model for Optimal Resilience Strategy With Distribution Line Hardening and Energy Storage System Deployment43
Modeling of Time-Delayed Distributed Cyber-Physical Power Systems for Small-Signal Stability Analysis43
Interpolated DFT-Based Identification of Sub-Synchronous Oscillation Parameters Using Synchrophasor Data42
Centralised and Distributed Optimization for Aggregated Flexibility Services Provision42
Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids42
A Privacy-Preserving Homomorphic Scheme With Multiple Dimensions and Fault Tolerance for Metering Data Aggregation in Smart Grid42
Market-Based Energy Management Model of a Building Microgrid Considering Battery Degradation42
Distributed Robust Frequency Restoration and Active Power Sharing for Autonomous Microgrids With Event-Triggered Strategy42
A Hybrid Islanding Detection Method Based on the Rates of Changes in Voltage and Active Power for the Multi-Inverter Systems42
Generalized Multivariable Grid-Forming Control Design for Power Converters41
Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator41
Deployment of the Electric Vehicle Charging Station Considering Existing Competitors41
Resilient H Consensus-Based Control of Autonomous AC Microgrids With Uncertain Time-Delayed Communications41
Reliability Modeling and Assessment of Cyber Space in Cyber-Physical Power Systems41
Optimal Schedule for Networked Microgrids Under Deregulated Power Market Environment Using Model Predictive Control41
Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System41
Evaluating the Dispatchable Capacity of Base Station Backup Batteries in Distribution Networks41
Gradient-Based Multi-Area Distribution System State Estimation40
Stochastic Scheduling of Mobile Energy Storage in Coupled Distribution and Transportation Networks for Conversion Capacity Enhancement40
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems40
A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints40
Design of Setting Group-Based Overcurrent Protection Scheme for Active Distribution Networks Using MILP40
Two-Level Islanding Detection Method for Grid-Connected Photovoltaic System-Based Microgrid With Small Non-Detection Zone40
Wide-Area Measurement System-Based Low Frequency Oscillation Damping Control Through Reinforcement Learning40
Smart Meter Data-Driven Customizing Price Design for Retailers40
Decentralized Bidirectional Voltage Supporting Control for Multi-Mode Hybrid AC/DC Microgrid40
Modelling and Control of Ensembles of Variable-Speed Air Conditioning Loads for Demand Response40
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems40
Active Distribution Grids Providing Voltage Support: The Swiss Case39
Two-Time-Scale Energy Management for Microgrids With Data-Based Day-Ahead Distributionally Robust Chance-Constrained Scheduling39
Automated Determination of Topology and Line Parameters in Low Voltage Systems Using Smart Meters Measurements39
Distributed Dynamic Clustering Algorithm for Formation of Heterogeneous Virtual Power Plants Based on Power Requirements39
Optimal Energy Storage System Operation for Peak Reduction in a Distribution Network Using a Prediction Interval39
Data-Based Resilience Enhancement Strategies for Electric-Gas Systems Against Sequential Extreme Weather Events39
Optimal Combination of Frequency Control and Peak Shaving With Battery Storage Systems39
Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications39
A Cyber-Physical Anomaly Detection for Wide-Area Protection Using Machine Learning39
Two-Stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach39
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