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Dr Yinyan Liu

Dr Yinyan Liu

Research Associate
Engineering
Photovoltaic and Renewable Energy Engineering

Dr. Yinyan Liu is a Postdoctoral Research Associate at the School of Photovoltaic and Renewable Energy Engineering, University of New South Wales (UNSW), Australia. Her research interests include modelling and optimisation of integration energy systems, fault diagnosis of PV systems, energy management for decarbonisation and decentralization, and applications of machine learning technologies for smart grids and smart cities. She was awarded the prestigious  "Rising Star Women in Engineering", "Faculty of Engineering PhD Completion Award", "Full Scholarship for the API’s Powerful Women Leadership Program in 2023",  “The University of Sydney International Scholarship”. 
E-mail
yan.liu6@unsw.edu.au
Location
Level2, Tyree Energy Technologies Building, Kensington NSW 2033.
  • Journal articles | 2025
    Jiang Y; Liu Y; Peng L; Li Y, 2025, 'A flow rate estimation method for gas–liquid two-phase flow based on filter-enhanced convolutional neural network', Engineering Applications of Artificial Intelligence, 139, http://dx.doi.org/10.1016/j.engappai.2024.109593
    Journal articles | 2025
    Liu Y; Duran E; Yildiz B; Bruce A; Severiano B; Ibrahim I; Rispler J; Martell C; Rougieux F, 2025, 'A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems', Applied Energy, 401, pp. 126636 - 126636, http://dx.doi.org/10.1016/j.apenergy.2025.126636
    Journal articles | 2025
    Liu Y; Yildiz B, 2025, 'Economic feasibility and backup capabilities of solar-battery systems for residential customers', Energy, http://dx.doi.org/10.1016/j.energy.2025.137518
    Journal articles | 2025
    Liu Y; Yildiz B, 2025, 'Techno-economic optimization of electric water heater and battery energy storage for residential dwellings with rooftop PV systems', Energy and Buildings, 342, pp. 115856, http://dx.doi.org/10.1016/j.enbuild.2025.115856
    Journal articles | 2025
    Zha W; Zhong H; Liu Y, 2025, 'Fair and Efficient Profit Allocation for Collaborative Operation of Distributed Renewable Energy Operators and Electric Vehicle Charging Stations', Journal of Modern Power Systems and Clean Energy, 13, pp. 1395 - 1406, http://dx.doi.org/10.35833/MPCE.2024.000534
    Journal articles | 2024
    Jiang Y; Liu Y; Mao B; Lu X; Li Y; Peng L, 2024, 'A Flowrate Estimation Method for Gas-Water Two-Phase Flow Based on Multimodal Sensors and Hybrid LSTM-CNN Model', IEEE Transactions on Instrumentation and Measurement, 73, http://dx.doi.org/10.1109/TIM.2024.3428611
    Journal articles | 2024
    Jiang Y; Wang H; Liu Y; Peng L; Zhang Y; Chen B; Li Y, 2024, 'A Flow Rate Estimation Method for Gas-Liquid Two-Phase Flow Based on Transformer Neural Network', IEEE Sensors Journal, 24, pp. 26902 - 26913, http://dx.doi.org/10.1109/JSEN.2024.3419121
    Journal articles | 2024
    Liu Y; Bai L; Ma J; Wang W; Ouyang W, 2024, 'Self-Supervised Feature Learning for Appliance Recognition in Nonintrusive Load Monitoring', IEEE Transactions on Industrial Informatics, 20, pp. 1698 - 1710, http://dx.doi.org/10.1109/TII.2023.3280445
    Journal articles | 2022
    Lai S; Qiu J; Tao Y; Liu Y, 2022, 'Risk hedging strategies for electricity retailers using insurance and strangle weather derivatives', International Journal of Electrical Power and Energy Systems, 134, http://dx.doi.org/10.1016/j.ijepes.2021.107372
    Journal articles | 2022
    Liu Y; Ma J; Xing X; Liu X; Wang W, 2022, 'A home energy management system incorporating data-driven uncertainty-aware user preference', Applied Energy, 326, http://dx.doi.org/10.1016/j.apenergy.2022.119911
    Journal articles | 2022
    Liu Y; Qiu J; Lu J; Wang W; Ma J, 2022, 'A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring', IEEE Transactions on Network Science and Engineering, 9, pp. 755 - 768, http://dx.doi.org/10.1109/TNSE.2021.3132309
    Journal articles | 2022
    Liu Y; Qiu J; Ma J, 2022, 'SAMNet: Toward Latency-Free Non-Intrusive Load Monitoring via Multi-Task Deep Learning', IEEE Transactions on Smart Grid, 13, pp. 2412 - 2424, http://dx.doi.org/10.1109/TSG.2021.3139395
    Journal articles | 2022
    Liu Y; Zhong L; Qiu J; Lu J; Wang W, 2022, 'Unsupervised domain adaptation for nonintrusive load monitoring via adversarial and joint adaptation network', IEEE Transactions on Industrial Informatics, 18, pp. 266 - 277, http://dx.doi.org/10.1109/TII.2021.3065934
  • Conference Papers | 2023
    Liu Y; Bai L; Ma J, 2023, 'Low-Carbon Community Energy Management Incorporating Data-Driven User Segmentation', in IEEE Power and Energy Society General Meeting, http://dx.doi.org/10.1109/PESGM52003.2023.10253403

Yinyan Liu’s research focuses on modelling and optimisation of integration energy systems, fault detection and diagnosis of PV systems, with a specific interest in learning and optimising, with applications to smart grids and smart cities.