Seven papers from my group are accepted by IEEE PES General Meeting 2019.

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  1. A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving
  2. Adaptive Online Learning with Momentum for Contingency-based Voltage Stability Assessment
  3. Adaptive Robust Energy Management Strategy for Campus-based Commercial Buildings Considering Comprehensive Comfort Levels
  4. Bayesian Estimation Based Parameter Estimation for Composite Load
  5. IoT and Edge Computing Based Direct Load Control for Fast Adaptive Frequency Regulation
  6. Submodular Load Clustering with Robust Principal Component Analysis
  7. Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning
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Di Shi
Associate Professor of Electrical and Computer Engineering