Deep interval prediction model with gradient descend optimization method for short-term wind power prediction. - Chaoshun Li; Geng Tang; Xiaoming Xue; Xinbiao Chen; Ruoheng Wang; Chu Zhang 002 (CoRR, 2019)

Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction. - Ruoheng Wang; Chaoshun Li; Wenlong Fu; Geng Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Real-Time Joint Regulations of Frequency and Voltage for TSO-DSO Coordination: A Deep Reinforcement Learning-Based Approach. - Ruoheng Wang; Siqi Bu; C. Y. Chung 001 (IEEE Trans. Smart Grid, 2024)

On the Speed-Varying Range of Electric Vehicles in Time-Windowed Routing Problems With En-Route Partial Re-Charging. - Xiaowen Bi; Ruoheng Wang; Qiang Jia (IEEE Trans. Consumer Electron., 2024)

Real-Time Coordination of Dynamic Network Reconfiguration and Volt-VAR Control in Active Distribution Network: A Graph-Aware Deep Reinforcement Learning Approach. - Ruoheng Wang; Xiaowen Bi; Siqi Bu (IEEE Trans. Smart Grid, 2024)

An adversarial diverse deep ensemble approach for surrogate-based traffic signal optimization. - Zhixian Tang; Ruoheng Wang; Edward Chung 001; Weihua Gu; Hong Zhu (Comput. Aided Civ. Infrastructure Eng., 2025)