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1. Advocating Feedback Control for Human-Earth System Applications

2. Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing

3. Feedback Optimization of Incentives for Distribution Grid Services

4. Unsupervised Learning for Equitable DER Control

5. A Decentralized Market Mechanism for Energy Communities under Operating Envelopes

6. Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities

7. Constraints on OPF Surrogates for Learning Stable Local Volt/Var Controllers

8. Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation

9. Learning Local Volt/Var Controllers Towards Efficient Network Operation with Stability Guarantees

10. Learning Distribution Grid Topologies: A Tutorial

11. Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization

12. Ripple-Type Control for Enhancing Resilience of Networked Physical Systems

13. Novel Region of Attraction Characterization for Control and Stabilization of Voltage Dynamics

14. Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks

15. Online State Estimation for Time-Varying Systems

16. An MILP Approach for Distribution Grid Topology Identification using Inverter Probing

17. Graph Algorithms for Topology Identification using Power Grid Probing

18. Inverter Probing for Power Distribution Network Topology Processing

19. Generalized gradient optimization over lossy networks for partition-based estimation

20. Voltage Analytics for Power Distribution Network Topology Verification

21. Distribution Network Topology Detection with Time Series Measurement Data Analysis

22. Data-Driven Approach for Distribution Network Topology Detection

23. Topology Detection in Microgrids with Micro-Synchrophasors

24. Real-Time Resilience of Energy Systems [Slides]

25. Distributed reactive power feedback control for voltage regulation and loss minimization

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