Area of research
Electrical and Electronic Engineering · Computational Mechanics
Research interest
Research interests include Smart Grid Energy Management, Optimal Power Flow Distribution, Fluid Dynamics Simulations and Interactions, and Fluid Dynamics and Turbulent Flows.
A Review of Safe Reinforcement Learning Methods for Modern Power Systems
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms
Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI
Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
Deep Learning to Optimize: Security-Constrained Unit Commitment With Uncertain Wind Power Generation and BESSs
Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks