Publications

Journal Papers

[1] Y. Lu and L. Shi, “An Enhanced Explainable Large Language Model-Based Framework for Electric Vehicle Charging Station Occupancy Prediction.”, Energy and AI, 2026. (JCR: Q1, IF=9.6)
[2] Y. Lu, P. Fan, J. Yang, et al., “Intelligent Frequency Control Strategy for Electric Vehicle-Inclusive Islanded Microgrid Based on Proximal Policy Optimization Algorithm” [J]. Electric Power Automation Equipment, 2025, 45(10): 135-143. (Chinese Top, EI Compendex Journal)

[1] Y. Lu, S. Xiao, et al., “A Monitoring System and Method for SF₆ Decomposition Products Based on Infrared Spectroscopy”, Patent CN116337798A, 2025.
[2] K. Sun, Y. Lu, et al., “A Smooth Switching-Based Fault Ride-Through Control Strategy for Direct-Drive Wind Turbines under Unbalanced Conditions”, Patent CN115459344A, 2025.
[3] Y. Zhang, S. Xiao, Y. Li, Y. Lu, et al., “A Sulfur Hexafluoride (SF₆) Decomposition Device”, Patent CN115999358A, 2024.
[4] H. Zhou, S. Xiao, Y. Li, Y. Chen, Y. Yan, H. Yang, Y. Lu, et al., “Application of a CuOTiO₂MgO5Fe5Ce Catalyst for SF₆ Gas Decomposition under Atmospheric Pressure”/, Patent CN116392959A, 2026.

Optimal Operation of Variable-Speed Seawater Pumped Storage Units Integrated with Offshore Wind and Solar Power, 2022.09-2023.10

Collected and curated typical daily generation datasets for wind and photovoltaic systems, ensuring data quality and representativeness for model development.
Developed mathematical models to simulate and forecast wind and solar power outputs under varying operating conditions.
Designed and implemented a coordinated optimization framework for the joint operation of variable-speed seawater pumped storage, offshore wind, and photovoltaic systems.
Evaluated system performance under different scenarios, improving operational efficiency and enhancing renewable energy utilization.

Flexible Control System of Regenerative Electric Heating Load for Renewable Energy Accommodation in Northern China, 2021.09-2022.09

Applied state-space methods to solve steady-state differential equations of thermal dynamics in typical rooms.
Developed difference equation models to simulate and calculate 24-hour indoor temperature profiles, enabling the characterization of building thermal inertia.
Constructed an optimizable regulation and control model for regenerative electric heating loads, balancing user thermal comfort with energy efficiency.
Investigated the potential of large-scale electric heating loads for power grid peak shaving, providing strategic insights for enhancing the accommodation of volatile renewable energy.