Talks
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Upcoming
North American Power Symposium “Grid Innovation for a Reliable and Resilient Energy Future”
Talks on A Multi-Objective Optimization Framework for Carbon-Aware Smart Energy Management in NAPS
Selected previous talks
| Title | Description | Date |
|---|---|---|
| Scaling Smart Grids with Transfer Learning and DRL |
As renewable energy integration accelerates, modern power grids face mounting complexity in maintaining stability and efficiency. Deep Reinforcement Learning (DRL) has emerged as a powerful technique for Volt-Var Control (VVC) — regulating voltage levels across the distribution grid — but its Achilles’ heel lies in expensive retraining. Every new grid topology or environment demands retraining from scratch, costing time, data, and computational energy. |
2025-07-16 |
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