Anurag Srivastava

Reinforcement Learning based Proactive Control for Enabling Power Grid Resilience to Wildfire

Industrial electric power grid operation subject to an extreme event requires decision making by human operators under stressful conditions. Decision making using system data …

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Salah Uddin Kadir
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Grid Resilience Against Wildfire with Machine Learning: Machine Learning based Detection, Localization and Mitigation of the Impact of Forest Fires on Power Grids

Decision-making by human operators, using system data obtained from bulk transmission systems, under adverse dynamic events should be supplemented by intelligent proactive control …

Paroma Chatterjee
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Cyber-Physical Simulation Platform for Security Assessment of the Transactive Energy Systems

Transactive energy systems (TES) are emerging as a transformative solution for the problems that distribution system operators face due to an increase in the use of distributed …

Yue Zhang
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