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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Join us to find out about Deep Reinforcement Learning (DRL) and its application to Power Systems Operation and Control, the drawbacks, and the solutions.
DRL has been extensively applied in domains such as gaming and robotics, but has issues with sample inefficiency, scalability, adaptability and trustworthiness. Dr. Huang will share their work on development of new DRL algorithms using physical understanding of the grid, and tools for power system emergency control and corrective operation.
Dr. Qiuhua Huang is currently a senior power system research engineer at Pacific Northwest National Laboratory (PNNL). He leads and manages several U.S. DOE-funded projects, including a major ARPA-E OPEN project on intelligent real-time grid emergency control.
Online Location: https://gatech.webex.com/gatech/j.php?MTID=m0af9065fc3aeb183565a7148d6fefbfa