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MAIN RESEARCH TOPICS
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1. Deep reinforcement learning (DRL) -based intelligent
energy management system (EMS)
i. DRL-based Volt/VAR control algorithm
ii. DRL-based EMS in smart home, building, electric vehicle charging station
iii. Privacy-preserving DRL-based EMS
using differential privacy,
federated reinforcement learning, and machine unlearning
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2. Carbon emission flow-based eco-friendly power management system
i. Deterministic/Stochastic
optimization-based carbon emission flow
in power system
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Figure from 'S. Park, et al. “Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse," in IEEE Transactions on Mobile Computing.'
3. Quantum computing-based high performative
next generation EMS
i. Quantum AI-based eco-friendly
mobile energy storage operation algorithm
ii. Quantum AI-based safe Volt/VAR control algorithm with carbon emission flow
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