All Stories

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