All Stories

  1. Efficient bidirectional charge scheduling for electric vehicles: Optimizing cost and carbon emissions
  2. Blockchain-Aided Cooperative Market Offering for Distributed Renewable Energy Producers
  3. A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model
  4. Large language model-assisted planning of electric vehicle charging infrastructure with real-world case study
  5. An LLM Framework for Inferring Household Energy Consumption Through Behaviour Simulation
  6. Online electric vehicle charging detection based on memory-based transformer using smart meter data
  7. A Modified RoCoF-Based Frequency Control Strategy for Grid Forming Wind Turbine Power Plants in 100 % Renewable Energy Systems
  8. LLM-Enhanced Trading Decision Framework with Multi-Scale Memory for Electricity Markets
  9. A review of research on traction load models and modeling methods for electrified railways
  10. Impact Analysis of Optimal EV Bi-directional Charging with Spatial-temporal Constraints
  11. Model Predictive Control for Real-Time Price-Maker Bidding by Grid-Scale Battery Energy Storage Systems
  12. LoadGuard: An Adaptive Deep Learning Model for Smart Meter Electricity Theft Detection
  13. Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes
  14. Load Balancing and Frequency Control in 100 % Renewable Energy-Integrated Grids using Deep Reinforcement Learning
  15. Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
  16. Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers
  17. Dynamic rolling horizon optimization for network-constrained V2X value stacking of electric vehicles under uncertainties
  18. Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
  19. Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation Under Statistical Heterogeneity
  20. Leveraging Large Language Model for Generalization in Building Energy Management
  21. FedCoSR: Personalized Federated Learning With Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
  22. A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
  23. Degradation-Aware Charger Deployment, Battery Sizing, and Charge Scheduling for Electric Bus Fleets
  24. Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion
  25. Consensus-based decentralized scheduling method for collaborative operation in seaport virtual power plant
  26. Beyond the Commute: Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions (Vision Paper)
  27. Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
  28. Smart Energy Guardian: A Hybrid Deep Learning Model for Detecting Fraudulent PV Generation
  29. A reinforcement learning-based online learning strategy for real-time short-term load forecasting
  30. Multi-objective coordinated EV charging strategy in distribution networks using an improved augmented epsilon-constrained method
  31. Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-Term Load Forecasting in Electricity Wholesale Markets
  32. Optimal distributed energy scheduling for port microgrid system considering the coupling of renewable energy and demand
  33. Investigating state-of-the-art planning strategies for electric vehicle charging infrastructures in coupled transport and power networks: A comprehensive review
  34. Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data
  35. Large Foundation Models for Power Systems
  36. Network-Aware Value Stacking of Community Battery via Asynchronous Distributed Optimization
  37. Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
  38. Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
  39. Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
  40. Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets
  41. Blockchain-Based Decentralized Federated Learning With On-Chain Model Aggregation and Incentive Mechanism for Industrial IoT
  42. Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
  43. Reputation-Based Streamlet: An Enhanced BFT Consensus Algorithm for Improved Performance and Scalability
  44. Deep Reinforcement Learning for Community Battery Scheduling Under Uncertainties of Load, PV Generation, and Energy Prices
  45. Non-Intrusive Load Monitoring for Feeder-Level EV Charging Detection: Sliding Window-Based Approaches to Offline and Online Detection
  46. Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach
  47. Hybrid Transformer-RNN Architecture for Household Occupancy Detection Using Low-Resolution Smart Meter Data
  48. MARL for Decentralized Electric Vehicle Charging Coordination with V2V Energy Exchange
  49. Dispatch of highly renewable energy power system considering its utilization via a data-driven Bayesian assisted optimization algorithm
  50. Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets
  51. AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response
  52. Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach
  53. Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning
  54. Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning
  55. Fairness-Aware Optimization of Vehicle-to-Vehicle Interaction for Smart EV Charging Coordination
  56. Network-Aware Electric Vehicle Coordination for Vehicle-to-Anything Value Stacking Considering Uncertainties
  57. A Multicriteria Optimal Operation Framework for a Data Center Microgrid Considering Renewable Energy and Waste Heat Recovery: Use of Balanced Decision Making
  58. Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information
  59. Insurance Contract for High Renewable Energy Integration
  60. Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets
  61. Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data
  62. Transactive Coordination of Electric Vehicles With Voltage Control in Distribution Networks
  63. Smart Online Charging Algorithm for Electric Vehicles via Customized Actor–Critic Learning
  64. Evaluate DC Meter Adoption for House-Level Storage Devices
  65. On the Coordination of Transmission-Distribution Grids: A Dynamic Feasible Region Method
  66. Network-Aware Coordination of Aggregated Electric Vehicles Considering Charge-Discharge Flexibility
  67. Consensus‐based decentralized energy trading for distributed energy resources
  68. Secure Blockchain Platform for Industrial IoT with Trusted Computing Hardware
  69. Identifying the relationship between seasonal variation in residential load and socioeconomic characteristics
  70. Improving load forecast in energy markets during COVID-19
  71. Distributed energy trading management for renewable prosumers with HVAC and energy storage
  72. Privacy-Preserving Transactive Energy Management for IoT-Aided Smart Homes via Blockchain
  73. Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant
  74. Visualising the Effect of COVID-19 on Electricity Consumption in Victoria, Australia
  75. Blockchain for Transactive Energy Management of Distributed Energy Resources in Smart Grid
  76. Characterizing Residential Load Patterns by Household Demographic and Socioeconomic Factors
  77. Analyzing Seasonal Variation in Residential Load Patterns via Two-Stage Clustering and Relative Entropy
  78. Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania
  79. Game-Theoretical Analysis of Mining Strategy for Bitcoin-NG Blockchain Protocol
  80. Blockchain-Empowered Socially Optimal Transactive Energy System: Framework and Implementation
  81. A Multi-Criteria Optimal Operation Framework for Renewable Energy Integrated Data Center Microgrid with Waste Heat Recovery
  82. Exploring Blockchain for The Coordination of Distributed Energy Resources
  83. Time-of-use Pricing for Energy Storage Investment
  84. Trade-off queuing delay and link utilization for solving bufferbloat
  85. Contract-based Time-of-use Pricing for Energy Storage Investment
  86. Cooperative Energy Management of HVAC via Transactive Energy
  87. Activity Detection And Modeling Using Smart Meter Data: Concept And Case Studies
  88. Virtual Energy Storage Sharing and Capacity Allocation
  89. IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning
  90. Storage or No Storage: Duopoly Competition Between Renewable Energy Suppliers in a Local Energy Market
  91. A Hybrid Prediction Model for Damage Warning of Power Transmission Line Under Typhoon Disaster
  92. Leveraging Socioeconomic Information and Deep Learning for Residential Load Pattern Prediction
  93. Controllable vs. Random: Renewable Generation Competition in a Local Energy Market
  94. A Distributed Online Pricing Strategy for Demand Response Programs
  95. Energy Storage Arbitrage in Real-Time Markets via Reinforcement Learning
  96. Incentivizing Energy Trading for Interconnected Microgrids
  97. Optimal Planning of Renewable Generations for Electric Vehicle Charging Station
  98. SAND: A Social-Aware and Distributed Scheme for Device Discovery in the Internet of Things
  99. Pricing-based energy storage sharing and virtual capacity allocation
  100. Microgrid generation planning considering renewable energy target
  101. Renewable energy-aware demand response for distributed data centers in smart grid
  102. Cooperative Planning of Renewable Generations for Interconnected Microgrids
  103. PID sliding mode controller design and application to active queue management
  104. Proactive Demand Response for Data Centers: A Win-Win Solution
  105. Powerline-PNC: Boosting throughput of powerline networks with physical-layer network coding
  106. Delay-aware congestion control with self-tuning robustness
  107. Bargaining-based energy trading market for interconnected microgrids
  108. Joint Investment and Operation of Microgrid
  109. Hybrid renewable energy investment in microgrid
  110. Exploring smart grid and data center interactions for electric power load balancing
  111. The capacity of multi-channel multi-interface wireless networks with multi-packet reception and directional antenna
  112. An Artificial Intelligence Approach to Price Design for Improving AQM Performance
  113. Design and analysis of effective price for congestion control
  114. Providing quality of service over time delay networks by efficient queue management
  115. Responsive AQM algorithm based on terminal sliding mode technique
  116. Using auto-tuning proportional integral probability to improve random early detection
  117. Effective adaptive virtual queue: a stabilising active queue management algorithm for improving responsiveness and robustness
  118. LOR: Localized Opportunistic Routing in Large-Scale Wireless Network
  119. Two-Degree-of-Freedom Congestion Control Strategy against Time Delay and Disturbance
  120. Design of adaptive real queue control algorithm supporting TCP flows
  121. Self-Tuning Price-Based Congestion Control Supporting TCP Networks
  122. Sliding Mode Control with Fuzzy Reaching Law for Queue Management in the Internet
  123. Intelligent price-based congestion control for communication networks
  124. RSP: Robust smith predictor for queue management in time-delay networks