IEEE Transactions on Smart Grid

Papers
(The TQCC of IEEE Transactions on Smart Grid is 22. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
Peer-to-Peer Trading in Electricity Networks: An Overview445
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids344
Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach207
Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning203
A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management203
Adaptive Power System Emergency Control Using Deep Reinforcement Learning195
Grid Influenced Peer-to-Peer Energy Trading185
Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices183
Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning180
Peer-to-Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees167
Transfer Learning for Non-Intrusive Load Monitoring167
Fast Frequency Response From Energy Storage Systems—A Review of Grid Standards, Projects and Technical Issues152
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model144
Event-Triggered Updating Method in Centralized and Distributed Secondary Controls for Islanded Microgrid Restoration143
Deep Reinforcement Learning for Strategic Bidding in Electricity Markets142
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings141
Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review141
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning139
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems139
A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty137
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids131
Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration128
Deep Reinforcement Learning for EV Charging Navigation by Coordinating Smart Grid and Intelligent Transportation System128
Coordinated Market Design for Peer-to-Peer Energy Trade and Ancillary Services in Distribution Grids126
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems121
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach120
Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids119
Stochastic Distributed Secondary Control for AC Microgrids via Event-Triggered Communication111
Seamless Transition of Microgrids Operation From Grid-Connected to Islanded Mode110
Line Impedance Cooperative Stability Region Identification Method for Grid-Tied Inverters Under Weak Grids108
Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning106
Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method106
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation105
On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks105
Real-Time Residential Demand Response103
Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm103
A Cyber-Attack Resilient Distributed Control Strategy in Islanded Microgrids102
A New and Fair Peer-to-Peer Energy Sharing Framework for Energy Buildings102
Integrating P2P Energy Trading With Probabilistic Distribution Locational Marginal Pricing102
Deep Reinforcement Learning Method for Demand Response Management of Interruptible Load100
Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models98
Hierarchically-Coordinated Voltage/VAR Control of Distribution Networks Using PV Inverters97
The Utilization of Shared Energy Storage in Energy Systems: A Comprehensive Review94
Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation94
Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets91
Distributed Adaptive Robust Voltage/VAR Control With Network Partition in Active Distribution Networks91
Virtual Energy Storage Sharing and Capacity Allocation91
Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning89
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads89
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting89
Deterministic Dynamic State Estimation-Based Optimal LFC for Interconnected Power Systems Using Unknown Input Observer88
Robust Coordination of a Hybrid AC/DC Multi-Energy Ship Microgrid With Flexible Voyage and Thermal Loads88
Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction85
Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation84
A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning83
Electricity Consumer Characteristics Identification: A Federated Learning Approach83
A Learning-Based Power Management Method for Networked Microgrids Under Incomplete Information82
Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection81
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method81
A Market Framework for Decentralized Congestion Management in Smart Distribution Grids Considering Collaboration Among Electric Vehicle Aggregators81
Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints81
Enhanced Coordinated Operations of Electric Power and Transportation Networks via EV Charging Services81
Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems80
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges80
Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs78
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach76
Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids75
Multi-Agent Based Attack-Resilient System Integrity Protection for Smart Grid74
A Model Predictive Power Control Method for PV and Energy Storage Systems With Voltage Support Capability74
A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System73
Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty73
Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks73
Incentive-Based Integrated Demand Response for Multiple Energy Carriers Considering Behavioral Coupling Effect of Consumers72
MDP-Based Distribution Network Reconfiguration With Renewable Distributed Generation: Approximate Dynamic Programming Approach72
An Adaptive Virtual Impedance Control for Improving Power Sharing Among Inverters in Islanded AC Microgrids71
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia71
An Iterative Two-Layer Optimization Charging and Discharging Trading Scheme for Electric Vehicle Using Consortium Blockchain70
An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading69
Resilient Control and Analysis for DC Microgrid System Under DoS and Impulsive FDI Attacks69
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration69
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks69
Data-Driven Event Detection of Power Systems Based on Unequal-Interval Reduction of PMU Data and Local Outlier Factor68
A FDI Attack-Resilient Distributed Secondary Control Strategy for Islanded Microgrids68
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks68
A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework68
Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids68
Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning67
A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks67
Reconfigurable Distribution Network for Managing Transactive Energy in a Multi-Microgrid System66
Topology Identification in Distribution Systems Using Line Current Sensors: An MILP Approach66
Demand-Side Management With Shared Energy Storage System in Smart Grid66
Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices66
A Two-Layer Distributed Cooperative Control Method for Islanded Networked Microgrid Systems66
H -Control of Grid-Connected Converters: Design, Objectives and Decentralized Stability Certificates66
Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties65
Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration65
Robust Load Frequency Control of Power Systems Against Random Time-Delay Attacks65
Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors65
Optimal Pricing of Public Electric Vehicle Charging Stations Considering Operations of Coupled Transportation and Power Systems65
MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids64
Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach64
Intrusion Detection for Cybersecurity of Smart Meters64
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs64
Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable?64
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring64
A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router63
Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning63
Enhancing Distribution System Resilience With Proactive Islanding and RCS-Based Fast Fault Isolation and Service Restoration63
Power System Parameter Attack for Financial Profits in Electricity Markets63
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning62
A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty61
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning60
Switch Opening and Exchange Method for Stochastic Distribution Network Reconfiguration60
A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters60
Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index60
Uncertainty-Aware Deployment of Mobile Energy Storage Systems for Distribution Grid Resilience60
Frequency Disturbance Event Detection Based on Synchrophasors and Deep Learning60
On the Fairness of PV Curtailment Schemes in Residential Distribution Networks60
Microgrid Protection and Control Schemes for Seamless Transition to Island and Grid Synchronization59
Plug-in Electric Vehicle Behavior Modeling in Energy Market: A Novel Deep Learning-Based Approach With Clustering Technique59
Frequency Regulation in Isolated Microgrids Through Optimal Droop Gain and Voltage Control59
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost59
Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects59
Distributed Coordinated Reactive Power Control for Voltage Regulation in Distribution Networks58
Coordinated Planning of Transportation and Electric Power Networks With the Proliferation of Electric Vehicles58
An Overview of Soft Open Points in Electricity Distribution Networks58
CP-SAM: Cyber-Physical Security Assessment Metric for Monitoring Microgrid Resiliency58
Event Trigger Super Twisting Sliding Mode Control for DC Micro Grid With Matched/Unmatched Disturbance Observer57
Peer-to-Peer Control for Networked Microgrids: Multi-Layer and Multi-Agent Architecture Design57
Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data57
Energy Management for Hybrid AC/DC Distribution System With Microgrid Clusters Using Non-Cooperative Game Theory and Robust Optimization57
A Novel Fault Location Methodology for Smart Distribution Networks57
Bargaining Game-Based Profit Allocation of Virtual Power Plant in Frequency Regulation Market Considering Battery Cycle Life57
Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach57
Voltage Control for Distribution Networks via Coordinated Regulation of Active and Reactive Power of DGs57
Model-Free Data Authentication for Cyber Security in Power Systems57
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging57
Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network56
Online Control and Near-Optimal Algorithm for Distributed Energy Storage Sharing in Smart Grid56
Distributed Secondary Control for Current Sharing and Voltage Restoration in DC Microgrid56
Aggregate Flexibility of Virtual Power Plants With Temporal Coupling Constraints56
Distributionally Robust Optimal Power Flow in Multi-Microgrids With Decomposition and Guaranteed Convergence55
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids55
Multi-Resource Allocation of Shared Energy Storage: A Distributed Combinatorial Auction Approach55
Mobile Emergency Generator Planning in Resilient Distribution Systems: A Three-Stage Stochastic Model With Nonanticipativity Constraints55
Hierarchical Scheduling of Aggregated TCL Flexibility for Transactive Energy in Power Systems54
Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach54
Detection and Mitigation of Data Manipulation Attacks in AC Microgrids54
Deep Reinforcement Learning-Based Approach for Proportional Resonance Power System Stabilizer to Prevent Ultra-Low-Frequency Oscillations53
Cooperative Fault-Tolerant Control of Microgrids Under Switching Communication Topology53
A New Method for Peer Matching and Negotiation of Prosumers in Peer-to-Peer Energy Markets53
Deep Reinforcement Learning for Demand Response in Distribution Networks53
Distributed Resilient Secondary Control of DC Microgrids Against Unbounded Attacks53
Two-Stage Decoupled Estimation Approach of Aggregated Baseline Load Under High Penetration of Behind-the-Meter PV System53
A Full Decentralized Multi-Agent Service Restoration for Distribution Network With DGs53
State Space Model of Aggregated Electric Vehicles for Frequency Regulation53
Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System52
Distributed Secondary Voltage Control in Islanded Microgrids With Consideration of Communication Network and Time Delays52
Coordinated Energy Management of Prosumers in a Distribution System Considering Network Congestion52
A Comprehensive Inertial Control Strategy for Hybrid AC/DC Microgrid With Distributed Generations52
Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids52
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning51
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting51
A Distributed and Robust Energy Management System for Networked Hybrid AC/DC Microgrids51
Resilience Assessment and Improvement for Cyber-Physical Power Systems Under Typhoon Disasters51
Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks51
Decentralized Networked Load Frequency Control in Interconnected Power Systems Based on Stochastic Jump System Theory51
Power and Transport Nexus: Routing Electric Vehicles to Promote Renewable Power Integration51
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model50
Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning50
On the Impact of Fault Ride-Through on Transient Stability of Autonomous Microgrids: Nonlinear Analysis and Solution50
Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management50
Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty50
A Scalable and Distributed Algorithm for Managing Residential Demand Response Programs Using Alternating Direction Method of Multipliers (ADMM)50
Resilient Networked AC Microgrids Under Unbounded Cyber Attacks50
An Energy Sharing Game With Generalized Demand Bidding: Model and Properties49
Cyber Physical Security Analytics for Transactive Energy Systems49
A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy49
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading49
Online Optimization for Networked Distributed Energy Resources With Time-Coupling Constraints48
Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems48
Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data48
Bi-Level Robust Optimization for Distribution System With Multiple Microgrids Considering Uncertainty Distribution Locational Marginal Price48
Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults48
Characterizing the Reserve Provision Capability Area of Active Distribution Networks: A Linear Robust Optimization Method48
Sequential Disaster Recovery Model for Distribution Systems With Co-Optimization of Maintenance and Restoration Crew Dispatch48
Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm48
A Regret-Based Stochastic Bi-Level Framework for Scheduling of DR Aggregator Under Uncertainties48
Modeling and Stability Analysis of Inverter-Based Microgrid Under Harmonic Conditions47
Optimal Policy Characterization Enhanced Actor-Critic Approach for Electric Vehicle Charging Scheduling in a Power Distribution Network47
Multi-Objective Adaptive Robust Voltage/VAR Control for High-PV Penetrated Distribution Networks47
Community Energy Cooperation With the Presence of Cheating Behaviors47
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids47
Chance-Constrained Energy Management System for Power Grids With High Proliferation of Renewables and Electric Vehicles47
Two-Stage Deep Reinforcement Learning for Inverter-Based Volt-VAR Control in Active Distribution Networks47
Primary Frequency Control in Isolated Microgrids Using Thermostatically Controllable Loads47
Robust Scheduling of Integrated Electricity and Heating System Hedging Heating Network Uncertainties47
Transactive Energy Based Aggregation of Prosumers as a Retailer46
Reserve Model of Energy Storage in Day-Ahead Joint Energy and Reserve Markets: A Stochastic UC Solution46
Toward Load Identification Based on the Hilbert Transform and Sequence to Sequence Long Short-Term Memory46
Risk-Based Uncertainty Set Optimization Method for Energy Management of Hybrid AC/DC Microgrids With Uncertain Renewable Generation46
Matrix Completion for Low-Observability Voltage Estimation46
Online Multi-Agent Reinforcement Learning for Decentralized Inverter-Based Volt-VAR Control46
Information Gap Decision Theory-Based Active Distribution System Planning for Resilience Enhancement46
Buffered-Microgrid Structure for Future Power Networks; a Seamless Microgrid Control46
A Practical Secondary Frequency Control Strategy for Virtual Synchronous Generator46
An Integrated Scheme for Online Dynamic Security Assessment Based on Partial Mutual Information and Iterated Random Forest46
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections46
Optimal Energy Management for Multi-Microgrid Under a Transactive Energy Framework With Distributionally Robust Optimization45
Optimal Sharing and Fair Cost Allocation of Community Energy Storage45
A Novel Energy Trading Framework Using Adapted Blockchain Technology45
Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment45
Dynamic Event-Based Model Predictive Load Frequency Control for Power Systems Under Cyber Attacks45
Fast Grid Frequency and Voltage Control of Battery Energy Storage System Based on the Amplitude-Phase-Locked-Loop45
Deep Reinforcement Learning-Based Controller for SOC Management of Multi-Electrical Energy Storage System45
Droop-Free Distributed Control for AC Microgrids With Precisely Regulated Voltage Variance and Admissible Voltage Profile Guarantees45
Distributed Control Strategy Based on a Consensus Algorithm and on the Conservative Power Theory for Imbalance and Harmonic Sharing in 4-Wire Microgrids45
Grid-Forming Inverter Enabled Virtual Power Plants With Inertia Support Capability45
A Robust Spatiotemporal Forecasting Framework for Photovoltaic Generation45
Distributed Optimal Control of Energy Storages in a DC Microgrid With Communication Delay44
Resilient Restoration of Distribution Systems in Coordination With Electric Bus Scheduling44
Mechanism Design for Fair and Efficient DSO Flexibility Markets44
Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP44
Multi-Round Double Auction-Enabled Peer-to-Peer Energy Exchange in Active Distribution Networks44
An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration44
Game Theoretic-Based Distributed Charging Strategy for PEVs in a Smart Charging Station43
A Zeno-Free Event-Triggered Secondary Control for AC Microgrids43
Distributed Predictive Control for Frequency and Voltage Regulation in Microgrids43
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications43
Electric Vehicle Aggregator Modeling and Control for Frequency Regulation Considering Progressive State Recovery43
Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation43
Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach43
A Supervised-Learning-Based Strategy for Optimal Demand Response of an HVAC System in a Multi-Zone Office Building43
Coordinated Control of Air-Conditioning Loads for System Frequency Regulation43
A Dynamic Equivalent Model for District Heating Networks: Formulation, Existence and Application in Distributed Electricity-Heat Operation42
Affinely Adjustable Robust ADMM for Residential DER Coordination in Distribution Networks42
Interval Overvoltage Risk Based PV Hosting Capacity Evaluation Considering PV and Load Uncertainties42
A Distributed EV Navigation Strategy Considering the Interaction Between Power System and Traffic Network41
Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs41
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication41
Transient Stability and Current Injection Design of Paralleled Current-Controlled VSCs and Virtual Synchronous Generators41
Full-Scale Distribution System Topology Identification Using Markov Random Field41
Decentralized AC Optimal Power Flow for Integrated Transmission and Distribution Grids41
A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System41
An Energy Management System for Isolated Microgrids With Thermal Energy Resources41
Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems41
Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks40
Market-Based Energy Management Model of a Building Microgrid Considering Battery Degradation40
Data-Driven Probabilistic Optimal Power Flow With Nonparametric Bayesian Modeling and Inference40
Smart Meter Data-Driven Customizing Price Design for Retailers39
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