All Stories

  1. DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning
  2. Domain Adaptation in Physical Systems via Graph Kernel
  3. Intrinsic-Motivated Sensor Management
  4. Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability
  5. Probabilistic Framework for Transient Stability Contingency Ranking of Power Grids with Active Distribution Networks: Application in Post Disturbance Security Assessment
  6. Unbalanced Multi-Phase Distribution Grid Topology Estimation and Bus Phase Identification
  7. Benchmark of Machine Learning Algorithms on Capturing Future Distribution Network Anomalies
  8. Performance Guaranteed State Estimation for Renewable Penetration with Improved Meters