Hong Wang Senior Distinguished R&D Staff, Fellow of IET, InstMC, IEEE and AIAA, Professor (EM) - University of Manchester (UK) Contact wangh6@ornl.gov | 865.946.1475 All Publications Minimum entropy filtering for a single output non-Gaussian stochastic system using state transformation Review of Challenges and Research Opportunities for Control of Transmission Grids Parameter Estimation of Synchronous Generator Using Neural Controlled Differential Equations... Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments Using Vision-Based Sensors Model Gap Quantification and Evaluation A Dataset of CFD Simulated Industrial Furnace Images for Conditional Automatic Generation with GANs... Multi-Edge Graph Convolutional Networks for Power Systems Stochastic Distribution Control Theory – Its Potential Application in Risk Management in Financial Systems Real-Time Hybrid Modeling of Francis Hydroturbine Dynamics via a Neural Controlled Differential Equation Approach Adaptive Hybrid 1D Modeling for Digital Twin of Hydropower Systems Optimal Siting of EV Fleet Charging Station Considering EV Mobility and Microgrid Formation for Enhanced Grid Resilience A Mobile Edge Computing Framework for Traffic Optimization At Urban Intersections Through Cyber-Physical Integration... Machine Learning-Based Regression Models for Ironmaking Blast Furnace Automation Adaptively Learned Modeling for a Digital Twin of Hydropower Turbines with Application to a Pilot Testing System Model Predictive Control for Urban Traffic Signals with Stability Guarantees Elastic Flow Modeling for Hydropower Digital Twins Operational control with set-points tuning - application to mobile robots Reducing Urban Traffic Congestion Using Deep Learning and Model Predictive Control... Fault isolation and fault-tolerant control for nonlinear stochastic distribution control systems with multiplicative faults 1D Modeling for the Development of a Digital Twin for Hydropower Systems with Applications for a Testing Rig Data-Driven Optimal Control of Traffic Signals for Urban Road Networks... Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization... Hybrid Recurrent Neural Network Modeling for Traffic Delay Prediction at Signalized Intersections Along an Urban Arterial... Adaptive Urban Traffic Signal Control for Multiple Intersections: An LQR Approach... Signal-Compensation-Based Adaptive PID Control for Fused Magnesia Smelting Processes Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Organizations Energy Science and Technology Directorate Buildings and Transportation Science Division Vehicle and Mobility Systems Research Section
