📍 First-Authored

⭐ Large Language Models for Smart Energy System Applications

R. Yan, C. Suo and Y. Xu, "A Multimodal and Fine-Tuned Large-Language Model for XPLE Cable Health Assessment," IEEE Transactions on Power Delivery, 2026.

R. Yan, L. Su and Y. Xu, "Li-Ion Battery Doctor: A Fine-Tuned and Explainable Large Language Model for Health Prognosis," IEEE Transactions on Energy Conversion, 2025.

⭐ Data-Driven Control and Operation of Active Distribution System

R. Yan and Y. Xu, "Data-driven voltage/var control of active distribution networks: A comprehensive review of deep reinforcement learning methods," Renewable and Sustainable Energy Reviews, 2026.

R. Yan and Y. Xu, "Multi-objective and multi-agent deep reinforcement learning for real-time decentralized volt/var control of distribution networks considering PV inverter lifetime," IEEE Transactions on Power Systems, 2024.

R. Yan, Q. Xing, and Y. Xu, "Multi-agent safe graph reinforcement learning for PV inverters based real-time decentralized volt/var control in zoned distribution networks," IEEE Transactions on Smart Grid, vol. 15, no. 1, pp. 299-311, 2023.

R. Yan and Y. Xu, "A data-driven method for microgrid bidding optimization in electricity market," IET Energy Conversion and Economics, 2023.

R. Yan, Y. Wang, Y. Xu, and J. Dai, "A multiagent quantum deep reinforcement learning method for distributed frequency control of islanded microgrids," IEEE Transactions on Control of Network Systems, vol. 9, no. 4, 2022.

R. Yan, Y. Wang, J. Dai and Y. Xu, "Quantum-key-distribution-based microgrid control for cybersecurity enhancement," IEEE Transactions on Industry Applications, vol. 58, no. 3, pp. 3076–3086, 2022.

R. Yan, Y. Xu, and R. Zhang, "A graph attention network based reinforcement learning method for optimal distributed frequency control of an islanded ac microgrid," in 2023 IEEE Power Energy Society General Meeting, Orlando, USA.

R. Yan, Y. Wang, J. Dai and Y. Xu, "Quantum-key-distribution-based microgrid control for cybersecurity enhancement," in 2021 IEEE Industry Applications Society Annual Meeting (IAS), 2022.

📍 Co-Authored

H. Li, J. Wang, R. Yan, Y. Zhang, H. Wang, L. Xue, " Risk-Averse Optimal Scheduling of Renewable-Powered Hydrogen-Ammonia-Methanol Co-Production Systems," Under Review, Submitted to Applied Energy, 2026.

Z. Ye, R. Yan, and Y. Xu, "Multi-agent safe deep reinforcement learning for optimal q/v droop curve of pv inverters towards distribution network voltage regulation," Under Review, Submitted to Applied Energy, 2025.

Y. Wang, L. Zeng, R. Yan, L. Luo, and Y. Xu, "Personalized Federated Learning for Frequency Nadir Prediction in Multi-Area Power Systems with Heterogeneous Feature Spaces," Journal of Modern Power Systems and Clean Energy, 2025.

C. Ren, R. Yan, M. Xu, et al., "Qfdsa: A quantum-secured federated learning system for smart grid dynamic security assessment," IEEE Internet of Things Journal, 2023.

C. Ren, H. Yu, R. Yan, et al., "Secfedsa: A secure differential privacy-based federated learning approach for smart cyber-physical grid stability assessment," IEEE Internet of Things Journal, 2023.

S. Ruan, R. Ramakrishna, C. Ren, R. Yan, et al., "Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization," IEEE Transactions on Visualization and Computer Graphics, 2025.

J. Liu, J. Liu, K. Lin, T. Ding, C. Ren, and R. Yan, "Enhancing credibility of transient stability assessment under stochastic operation modes in power systems: An incremental dataset recognition approach," Electric Power Systems Research, 2025.

J. Liu, J. Liu, T. Ding, C. Ren and R. Yan, "A generic scene-dependent credibility evaluation framework for machine learning-based transient stability assessment of power systems," IEEE Transactions on Power Systems, 2024.

J. Liu, J. Liu, R. Yan, and T. Ding, "Deep lyapunov learning: Embedding the lyapunov stability theory in interpretable neural networks for transient stability assessment," IEEE Transactions on Power Systems, 2024.

J. Liu, J. Liu, T. Ding, R. Yan, and C. Ren, "Intelligent Enhancement of Branch Transient Transmission Capacity Index Criterion for Transient Stability Discrimination: Robustness Augmentation and Critical Threshold Modification," IEEE Transactions on Power Systems, 2025.

C. Hu, Z. Cai, Y. Zhang, R. Yan, Y. Cai, and B. Cen, "A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids," Protection and Control of Modern Power Systems, 2022.

H. Zhu, W. Luo, R. Yan, C. Ren, J. Guo, et al., "GBS-assisted Quantum unsupervised machine learning protocol on a universal programmable integrated quantum chip", Research, 2025.

C. Ren, R. Yan, H. Zhu, et al., "Towards quantum federated learning," IEEE Transactions on Neural Networks and Learning Systems, 2024.

L. Cao, W. Luo, Y. Wang, J. Zou, R. Yan, H. Cai, et al., "Chip-based measurement device-independent quantum key distribution using integrated silicon photonic systems," Physical Review Applied, vol. 14, no. 1, p. 011 001, 2020.

L. Cao, W. Luo, Y. X. Wang, J. Zou, R. Yan, H. Cai et al., "An Integrated Photonic Chip of Measurement-Device-Independent Quantum Key Distribution (MDI-QKD)," in 2020 Conference on Lasers and Electro-Optics, May 2020.

Peer Reviewer in Journals

IEEE Journals

🔹 IEEE Transactions on Smart Grid
🔹 IEEE Transactions on Power Systems
🔹 IEEE Transactions on Sustainable Energy
🔹 IEEE Transactions on Industrial Informatics
🔹 IEEE Transactions on Power Delivery
🔹 IEEE Power Engineering Letters
🔹 IEEE Open Access Journal of Power and Energy
🔹 Jornal of Modern Power Systems and Clean Energy
🔹 CSEE Jornal of Power and Energy Systems

Elsevier Journals

🔸 Applied Energy
🔸 International Journal of Electrical Power and Energy Systems
🔸 Electric Power Systems Research
🔸 Energy Conversion and Management

IET Journals

🔹 IET Generation, Transmission & Distribution
🔹 IET Renewable Power Generation

Invited Talks & Academic Presentations

Data-Driven Control and Operation of Active Distribution System
Conference: Silk Road International Autumn Symposium for Distinguished Young Scholars
Location: Xi'an, China
Type: 📢 Oral Presentation
Year: 2025

Graph Attention Network Based Reinforcement Learning Method for Optimal Distributed Frequency Control of an Islanded AC Microgrid
Conference: 2023 IEEE PES General Meeting (PESGM)
Location: Orlando, FL, USA
Type: 📊 Poster Presentation
Year: 2023

Quantum-Key-Distribution Based Microgrid Control for Cybersecurity Enhancement
Conference: 2021 IEEE Industry Applications Society Annual Meeting (IAS)
Location: Vancouver, BC, Canada
Type: 📢 Oral Presentation
Year: 2021

📚 Master's Dissertation Supervision

2025-2026 | School of Electrical and Electronic Engineering, NTU

Project: Risk-based Power Asset Maintenance
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

Project: Data-Driven Power System Stability Assessment
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

Project: AI-Driven Electricity Price Forecasting
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

2024-2025 | School of Electrical and Electronic Engineering, NTU

Project: Deep Reinforcement Learning Based Coordinated Operation of Microgrid with Energy Storage and Renewable Sources
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

Project: Deep Reinforcement Learning Based Data-Driven Method for Voltage/Var Control in Distribution Network
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

2023-2024 | School of Electrical and Electronic Engineering, NTU

Project: Smart PV Inverter for Distribution Grid Voltage Regulation Support
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

Project: Reinforcement Learning Based Operational Control of Active Distribution Network
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

2022-2023 | School of Electrical and Electronic Engineering, NTU

Project: PV Inverters Based Decentralized Voltage/Var Control of Power Distribution Network: A Multi-Agent Twin Delayed DDPG Approach
Student Supervision: Primary Mentor
Outcome: Master's Dissertation

2021-2022 | School of Electrical and Electronic Engineering, NTU

Project: Graphical User Interface (GUI) Development for Power Equipment Health Monitoring Software
Student Supervision: Primary Mentor
Outcome: Master's Dissertation