Hong Wang Senior Distinguished R&D Staff, Fellow of IET, InstMC, IEEE and AIAA, Professor (EM) - University of Manchester (UK) Contact WANGH6@ORNL.GOV All Publications Adaptive PID Gain Scheduling Control for Hydropower Turbine using Neural CDE and Stochastic Distribution Shaping Dynamic Modeling of a Kaplan Hydroturbine Using Optimal Parametric Tuning and Real Plant Operational Data Probability Density Function Control of Frequency Fluctuations in Renewable-Rich Power Systems... Learning error distribution kernel-enhanced neural network methodology for multi-intersection signal control optimization Integrated Routing and Traffic Signal Control for CAVs via Reinforcement Learning Approach Connected Traffic Signal Coordination Optimization Framework through Network-Wide Adaptive Linear Quadratic Regulator–Based Control Strategy Reduced Order Modeling via CFD Simulation Data for Inclusion Removal in Steel Refining Ladle Towards the Flexibility of HVDC-Interconnected Systems: A Novel Emergency Frequency Response Model... Structured Neural Network Modeling for Developing Digital Twins Models of Hydropower Generation Units... 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 Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments Using Vision-Based Sensors Parameter Estimation of Synchronous Generator Using Neural Controlled Differential Equations The Integrated Virtual Blast Furnace: Enabling Physics-Based Operational Guidance... 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 Adaptive Hybrid 1D Modeling for Digital Twin of Hydropower Systems Real-Time Hybrid Modeling of Francis Hydroturbine Dynamics via a Neural Controlled Differential Equation Approach 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 Pagination Current page 1 Page 2 Page 3 Next page ›â¶Äº Last page Last » Organizations Energy Science and Technology Directorate Buildings and Transportation Science Division Vehicle and Mobility Systems Research Section
