Huan Zhao

@polyu.edu.hk

Department of Building Environment and Energy Engineering
The Hong Kong Polytechnic University

Huan Zhao


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https://researchid.co/huanzhao

RESEARCH, TEACHING, or OTHER INTERESTS

Energy Engineering and Power Technology, Artificial Intelligence
1610

Scholar Citations

21

Scholar h-index

33

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Coordinated power smoothing control for wind storage integrated system with physics-informed deep reinforcement learning
    S Wang, H Zhao, Y Cao, Z Pan, G Liu, G Liang, J Zhao
    Electric Power Systems Research 255, 112707 , 2026
    2026
    Citations: 2
  • Deep Reinforcement Learning-Based Mobile Battery Energy Storage System Control With Partial Observability and Data Imputation
    X Gui, H Zhao, G Liu, Y Cheng, Q Wang, Y Sun, J Zhao
    IEEE Transactions on Industrial Informatics , 2026
    2026
  • Personalized thermal comfort elicitation for human-centric building environments with low-cognitive-load conversational AI
    Y Li, H Zhao, G Su, Y Meng, Y Zhang, Y Li, R Ding, Z Chen, J Yan
    Building and Environment, 114586 , 2026
    2026
  • Power system operational reliability evaluation with retrieval-augmented generation enhanced large language model
    Y Cheng, H Zhao, D Xiang, Z Zhang, G Liu, Y Liu, J Zhao, X Cai
    Energy and AI, 100688 , 2026
    2026
    Citations: 6
  • Large Language Model-based power dispatch agent: Framework, application and challenges
    H Zhao, Y Cheng, D Xiang, X Zhou, J Zhao, X Cai, Z Dong
    International Journal of Electrical Power & Energy Systems 175, 111653 , 2026
    2026
    Citations: 6
  • Secure and trustworthy energy systems: A four-layer threat model and defense-in-depth framework
    Y Cheng, X Zhou, H Zhao, G Liang, F Wen, J Zhao
    Energy, 140027 , 2026
    2026
  • Physics-Constrained Deep Learning with Adaptive ZR Relationship for Accurate and Interpretable Quantitative Precipitation Estimation
    T Shu, H Zhao, K Cai, Z Zhu
    Remote Sensing 18 (1), 156 , 2026
    2026
  • MVLFLM: A parameter-efficient large language model framework for cross-domain multi-voltage load forecasting in smart grids
    G Liu, Y Bai, H Zhao, K Wen, X Wang, J Gu, Y Liu, G Liang, J Zhao, ...
    Energy and AI, 100651 , 2025
    2025
    Citations: 1
  • Fine-Grained Subdomain Alignment and Feature Grouping Based Cross-Domain SOH Estimation for Lithium-Ion Batteries Using a Patch Time Series CNN-Transformer Network
    X Gui, S Zhang, Y Cheng, Q Wang, T Zhao, H Zhao, J Zhao
    IEEE Transactions on Power Electronics , 2025
    2025
  • Engibench: A benchmark for evaluating large language models on engineering problem solving
    X Zhou, X Wang, Y He, Y Wu, R Zou, Y Cheng, Y Xie, W Liu, H Zhao, Y Xu, ...
    arXiv preprint arXiv:2509.17677 , 2025
    2025
    Citations: 8
  • Multi-modal data information alignment based SOH estimation for lithium-ion batteries using a local–global parallel CNN-Transformer Network
    X Gui, J Du, Q Wang, H Zhao, Y Cheng, J Zhao
    Journal of Energy Storage 129, 117178 , 2025
    2025
    Citations: 29
  • Building Energy Management Systems with LLM Agent Enhanced Natural Language Policy Explanation
    S Zhang, J Wei, D Xiang, Y Cheng, H Zhao, Y Xie, X Cai, J Zhao
    2025 5th Power System and Green Energy Conference (PSGEC), 409-414 , 2025
    2025
  • Power smoothing control for wind-storage integrated systems with hierarchical safe reinforcement learning and curriculum learning
    S Wang, H Zhao, T Shu, Z Pan, G Liang, J Zhao
    IEEE Transactions on Smart Grid , 2025
    2025
    Citations: 2
  • Large Language Model for Power System Scenario Generation Considering Weather Condition
    X Zhou, Y Cheng, Y Zhong, H Zhao, Y Zhu, X Cai, Y Xu, J Zhao
    2025 IEEE Power & Energy Society General Meeting (PESGM), 1-5 , 2025
    2025
    Citations: 1
  • ElecBench: A power grid dispatch evaluation benchmark for large language models
    X Zhou, H Zhao, Y Cheng, G Liang, G Liu, W Liu, Y Xu, J Zhao
    2025 IEEE Power & Energy Society General Meeting (PESGM), 1-5 , 2025
    2025
    Citations: 40
  • Personalized federated learning for household electricity load prediction with imbalanced historical data
    S Zhu, X Shi, H Zhao, Y Chen, H Zhang, X Song, T Wu, J Yan
    Applied Energy 384, 125419 , 2025
    2025
    Citations: 13
  • Large Language Model-Based Operation Ticket Generation: A Case Study
    S Zhang, H Zhao, Y Cheng, J Wu, J Zhao, Z Pan
    2025 IEEE International Conference on Power and Integrated Energy Systems … , 2025
    2025
  • A large language model for advanced power dispatch
    Y Cheng, H Zhao, X Zhou, J Zhao, Y Cao, C Yang, X Cai
    Scientific Reports 15 (1), 8925 , 2025
    2025
    Citations: 79
  • Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods
    Y Cao, H Zhao, Y Cheng, T Shu, Y Chen, G Liu, G Liang, J Zhao, J Yan, ...
    IEEE Transactions on Neural Networks and Learning Systems 36 (6), 9737-9757 , 2024
    2024
    Citations: 299
  • Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting: M. Xiangrui et al.
    X Meng, H Zhao, T Shu, J Zhao, Q Wan
    Applied Intelligence 54 (17), 8399-8414 , 2024
    2024
    Citations: 8

MOST CITED SCHOLAR PUBLICATIONS

  • Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods
    Y Cao, H Zhao, Y Cheng, T Shu, Y Chen, G Liu, G Liang, J Zhao, J Yan, ...
    IEEE Transactions on Neural Networks and Learning Systems 36 (6), 9737-9757 , 2024
    2024
    Citations: 299
  • Cooperative wind farm control with deep reinforcement learning and knowledge-assisted learning
    H Zhao, J Zhao, J Qiu, G Liang, ZY Dong
    IEEE Transactions on Industrial Informatics 16 (11), 6912-6921 , 2020
    2020
    Citations: 173
  • Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data
    H Yang, R Liang, Y Yuan, B Chen, S Xiang, J Liu, H Zhao, E Ackom
    Applied Energy 313, 118813 , 2022
    2022
    Citations: 101
  • Deep learning for cybersecurity in smart grids: Review and perspectives
    J Ruan, G Liang, J Zhao, H Zhao, J Qiu, F Wen, ZY Dong
    Energy Conversion and Economics 4 (4), 233-251 , 2023
    2023
    Citations: 96
  • A large language model for advanced power dispatch
    Y Cheng, H Zhao, X Zhou, J Zhao, Y Cao, C Yang, X Cai
    Scientific Reports 15 (1), 8925 , 2025
    2025
    Citations: 79
  • Applying large language models to power systems: Potential security threats
    J Ruan, G Liang, H Zhao, G Liu, X Sun, J Qiu, Z Xu, F Wen, ZY Dong
    IEEE transactions on smart grid 15 (3), 3333-3336 , 2024
    2024
    Citations: 79
  • Linear-layer-enhanced quantum long short-term memory for carbon price forecasting
    Y Cao, X Zhou, X Fei, H Zhao, W Liu, J Zhao
    Quantum Machine Intelligence 5 (2), 26 , 2023
    2023
    Citations: 68
  • Real‐time emission and cost estimation based on unit‐level dynamic carbon emission factor
    J Liu, H Zhao, S Wang, G Liu, J Zhao, ZY Dong
    Energy Conversion and Economics 4 (1), 47-60 , 2023
    2023
    Citations: 43
  • Hybrid-model-based deep reinforcement learning for heating, ventilation, and air-conditioning control
    H Zhao, J Zhao, T Shu, Z Pan
    Frontiers in Energy Research 8, 610518 , 2021
    2021
    Citations: 43
  • TempEE : Temporal–Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression
    S Chen, T Shu, H Zhao, G Zhong, X Chen
    IEEE Transactions on Geoscience and Remote Sensing 61, 1-14 , 2023
    2023
    Citations: 42
  • ElecBench: A power grid dispatch evaluation benchmark for large language models
    X Zhou, H Zhao, Y Cheng, G Liang, G Liu, W Liu, Y Xu, J Zhao
    2025 IEEE Power & Energy Society General Meeting (PESGM), 1-5 , 2025
    2025
    Citations: 40
  • Data-driven risk preference analysis in day-ahead electricity market
    H Zhao, J Zhao, J Qiu, G Liang, F Wen, Y Xue, ZY Dong
    IEEE Transactions on Smart Grid 12 (3), 2508-2517 , 2020
    2020
    Citations: 37
  • MASK-CNN-Transformer for real-time multi-label weather recognition
    S Chen, T Shu, H Zhao, YY Tang
    Knowledge-Based Systems 278, 110881 , 2023
    2023
    Citations: 35
  • Prospect of artificial general intelligence for power systems based on large language model: theory and applications
    J Zhao, FS Wen, JW Huang, J Liu, H Zhao, Y Cheng
    Automation of Electric Power Systems 48 (6), 13-28 , 2024
    2024
    Citations: 34
  • Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data
    J Liu, G Liu, H Zhao, J Zhao, J Qiu, ZY Dong
    Engineering Applications of Artificial Intelligence 127, 107272 , 2024
    2024
    Citations: 30
  • Multi-modal data information alignment based SOH estimation for lithium-ion batteries using a local–global parallel CNN-Transformer Network
    X Gui, J Du, Q Wang, H Zhao, Y Cheng, J Zhao
    Journal of Energy Storage 129, 117178 , 2025
    2025
    Citations: 29
  • Fast and explainable warm-start point learning for AC Optimal Power Flow using decision tree
    Y Cao, H Zhao, G Liang, J Zhao, H Liao, C Yang
    International Journal of Electrical Power & Energy Systems 153, 109369 , 2023
    2023
    Citations: 27
  • Carbon market risk estimation using quantum conditional generative adversarial network and amplitude estimation
    X Zhou, H Zhao, Y Cao, X Fei, G Liang, J Zhao
    Energy Conversion and Economics 5 (4), 193-210 , 2024
    2024
    Citations: 26
  • Ensemble-based Deep Reinforcement Learning for robust cooperative wind farm control
    B He, H Zhao, G Liang, J Zhao, J Qiu, ZY Dong
    International Journal of Electrical Power & Energy Systems 143, 108406 , 2022
    2022
    Citations: 26
  • Dynamic multiscale fusion generative adversarial network for radar image extrapolation
    S Chen, T Shu, H Zhao, Q Wan, J Huang, C Li
    IEEE Transactions on Geoscience and Remote Sensing 60, 1-11 , 2022
    2022
    Citations: 26