Using Deep Reinforcement Learning to make control decisions for power grid operation - Yongli Zhu

Conference Website: http://saiconference.com/CVC Yongli Zhu currently works at the Global Energy Interconnection Research Institute, San Jose, CA. He did his PhD from University of Tennessee. Current Research: 1) Using Deep Reinforcement Learning to make control decisions for power grid operation 2) Graph database and graph computing for the power grid application (e.g. topology analysis) 3) Graph machine/ deep learning and its potential application in power systems, e.g. for power load forecasting 4) Knowledge Graph for power equipment management