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WANG Ruoheng
WANG Ruoheng
Postdoctoral Fellow, The Hong Kong Polytechnic University
Verified email at polyu.edu.hk
Title
Cited by
Cited by
Year
Deep learning method based on gated recurrent unit and variational mode decomposition for short-term wind power interval prediction
R Wang, C Li, W Fu, G Tang
IEEE transactions on neural networks and learning systems 31 (10), 3814-3827, 2019
1732019
The short-term interval prediction of wind power using the deep learning model with gradient descend optimization
C Li, G Tang, X Xue, X Chen, R Wang, C Zhang
Renewable Energy 155, 197-211, 2020
982020
Data-driven prediction and evaluation on future impact of energy transition policies in smart regions
C Yang, S Bu, Y Fan, WX Wan, R Wang, A Foley
Applied Energy 332, 120523, 2023
182023
Real-time joint regulations of frequency and voltage for tso-dso coordination: A deep reinforcement learning-based approach
R Wang, S Bu, CY Chung
IEEE Transactions on Smart Grid 15 (2), 2294-2308, 2023
152023
Real-time coordination of dynamic network reconfiguration and volt-var control in active distribution network: A graph-aware deep reinforcement learning approach
R Wang, X Bi, S Bu
IEEE Transactions on Smart Grid 15 (3), 3288-3302, 2023
142023
Real-time scheduling of electric bus flash charging at intermediate stops: A deep reinforcement learning approach
X Bi, R Wang, H Ye, Q Hu, S Bu, E Chung
IEEE Transactions on Transportation Electrification 10 (3), 6309-6324, 2023
42023
On the Speed-Varying Range of Electric Vehicles in Time-Windowed Routing Problems With En-Route Partial Re-Charging
X Bi, R Wang, Q Jia
IEEE Transactions on Consumer Electronics 70 (1), 3650-3657, 2023
42023
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization
Z Tang, R Wang, E Chung, W Gu, H Zhu
Computer‐Aided Civil and Infrastructure Engineering, 2025
2025
Two-Timescale Voltage Regulation for Coupled Distribution and Flash-Charging-Enabled Public Transit Systems Using Deep Reinforcement Learning
R Wang, X Bi, S Bu, M Long
IEEE Transactions on Transportation Electrification, 2024
2024
Comparison analysis of deep learning forecasting models with hybrid structure for short-term wind power prediction
J Wong, R Wang, S Bu
IET Conference Proceedings CP822 2022 (27), 65-70, 2022
2022
Cooperative Transit Signal Priority for the Arterial Road with Multi-Agent Reinforcement Learning to Reduce Schedule Delay
M Long, R Wang, J Chen, E Chung, T Oguchi
Available at SSRN 4781953, 0
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