All Stories

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