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WANG Ruoheng
WANG Ruoheng
Postdoctoral Fellow, The Hong Kong Polytechnic University
Verifisert e-postadresse på polyu.edu.hk
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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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