All Stories

  1. Improving generative trajectory prediction via collision-free modeling and goal scene reconstruction
  2. Identifying the Largest RoCoF and Its Implications
  3. Knowledge-Empowered, Collaborative, and Co-Evolving AI Models: The Post-LLM Roadmap
  4. Finite-Time Cooperative Control for Vehicle Platoon With Sliding-Mode Controller and Disturbance Observer
  5. Softly Collaborated Voltage Control in PV Rich Distribution Systems With Heterogeneous Devices
  6. Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain
  7. Federated Deep Q-Network for Multiple Microgrids Energy Management
  8. Federated learning on non-IID and globally long-tailed data via meta re-weighting networks
  9. Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
  10. Byzantine-resilient Economical Operation Strategy Based on Federated Deep Reinforcement Learning for Multiple Electric Vehicle Charging Stations Considering Data Privacy
  11. Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources
  12. Hierarchical Control of Connected Vehicle Platoon by Simultaneously Considering the Vehicle Kinematics and Dynamics
  13. Flexible Microgrids with Dynamic Boundaries for Voltage Volatility Reduction
  14. Adaptive error bounded piecewise linear approximation for time-series representation
  15. OPUPO: Defending Against Membership Inference Attacks With Order-Preserving and Utility-Preserving Obfuscation
  16. Robust federated deep reinforcement learning for optimal control in multiple virtual power plants with electric vehicles
  17. Nonlinear longitudinal cooperative control of heterogeneous connected vehicle platoon considering car-following interactions and communication delay
  18. Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning
  19. Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
  20. A Deep-Reinforcement-Learning-Based Social-Aware Cooperative Caching Scheme in D2D Communication Networks
  21. Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring
  22. PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer
  23. Conformal asymmetric multi-quantile generative transformer for day-ahead wind power interval prediction
  24. Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles
  25. Dynamic Attention-Based CVAE-GAN for Pedestrian Trajectory Prediction
  26. Secure Data Sharing over Vehicular Networks Based on Multi-Sharding Blockchain
  27. Compound Batch Normalization for Long-tailed Image Classification
  28. Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
  29. Crossmodal Transformer Based Generative Framework for Pedestrian Trajectory Prediction
  30. Smart grid dispatch powered by deep learning: a survey
  31. BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain
  32. Cascading imbalance in coupled gas-electric energy systems
  33. AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
  34. Serverless distributed learning for smart grid analytics*
  35. Cyber-Constrained Optimal Power Flow Model for Smart Grid Resilience Enhancement
  36. Training Encrypted Models with Privacy-preserved Data on Blockchain
  37. Integration of Preventive and Emergency Responses for Power Grid Resilience Enhancement
  38. System resilience enhancement: Smart grid and beyond
  39. Frequency Dynamics Constrained Unit Commitment With Battery Energy Storage
  40. Impact of human error on electrical equipment preventive maintenance policy
  41. Comprehensive decoupled risk-limiting dispatch
  42. Impact Analysis of Human Errors on Operation Reliability in Power System
  43. Improving the Predictive Validity of NPS in Customer Satisfaction Surveys