Yinyan Liu

Postdoctoral Researcher
Office: 2-2102S27 Tyree Energy Technologies Building, School of Photovoltaic and Renewable Energy Engineering, University of New South Wales (UNSW)
Email: yinyan.yana.liu@gmail.com

Adjunct Lecturer
School of Physics, University of Sydney (USYD) Email: yinyan.liu@usyd.edu.au

I am currently a Postdoctoral Research Associate at the School of Photovoltaic and Renewable Energy Engineering, University of New South Wales (UNSW), Australia, and simultaneously serve as a casual lecturer at the School of Physics, the University of Sydney. I obtained my Ph.D. degree from School of Electrical & Information Engineering, University of Sydney, Australia, in June. 2023. Before that I received my master degree from the Department of Automation, Tsinghua University, China, in Jul. 2018 and B.E degree from Department of Automation, North China Electric Power University, China, in Jul. 2011.

My research interest broadly includes smart grids and machine learning. Specifically, I focus on demand response (e.g., residential home energy management, pre-heating, optimization of energy storage), Buisness Modelling for Virtual Power Plants (VPPs) (e.g., shared energy storage for community energy management), Operation and Maintainance (O & M) of Distributed PV Systems (e.g., intelligent monitoring, PV module degradation), the applications of data-driven technologies for smart grids (e.g., multimodal learning, large language model for time-series load monitoring and load forecasting) etc.

Openings: We are looking for self-motivated hounor student, graduate (Master/Ph.D.) students to join our group. If you are interested, please email me with your resume and transcript.

News

Mar 2024 I am invited by Epistimi Leadership Program, which is based on the MIT LEAPS for future femal leaders in Energy field (Top 1%).
Feb 2024 I am serving a Adjunct Lecturer at the School of Physics, University of Sydney - Techniques for Sustainability Analysis.
Jan 2024 Our review paper Non-Intrusive Load Monitoring in Smart Grids: A Comprehensive Review is available online. Comprehensive datasets, technologies, metrics, applications, and challenges have been summarized.
Dec 2023 I successfully secured a two-year UNSW-Tsinghua Collaboration Grant with the Department of Electrical and Engineering, Tsinghua University.
Nov 2023 I was invited to give a talk alongside the UNSW team at Osaka Metropolitan University, Japan.
Nov 2023 I successfully participated in the Asian Deans Forum 2023 at the University of Tokyo, Japan, where I was recognized as a Rising Star Woman in Engineering , placing me in the top 1% globally.
Nov 2023 I was invited by Prof. Wei Wang to present a seminar on Data-Driven Energy Transistion Technologies at Hong Kong University of Science and Technology (Guangzhou)
Nov 2023 I was invited to deliver a speech at PVSEC-34, discussing our recent project on Operations and Maintenance (O&M) of PV systems in Australia.
Oct 2023 I celebrated the completion of my PhD by attending my graduation ceremony, and I am honored to have been recognized with the conferral of a University of Sydney Prize for my excellent achievements at the University of Sydney.
Aug 2023 I successfully secured an International Lectureship to strengthen international collaboration for faculty of Engineering, UNSW
Jul 2023 I attended the IEEE PES General Meeting in Orlando, USA, where I presented our paper on community energy management.
Jun 2023 I was awarded my PhD degree.
Apr 2023 Our paper on load monitoring was accepted to IEEE Transactions on Industrial Informatics
Feb 2023 I was awarded the Faculty of Engineering PhD Completion Award by the University of Sydney in recognition of my achievements during my PhD studies.
Nov 2022 I commenced my postdoctoral role at UNSW.
Jun 2022 Our paper about home energy management was accepted to Applied Energy.
May 2022 Our paper about Community energy management was accepted to 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia).
Mar 2022 Our paper about blind source seperation-based load monitoring was accepted to IEEE Transactions on Network Science and Engineering.
Nov 2021 Our paper about multi-task-based load monitoring was accepted to IEEE Transactions on Smart Grid.
Mar 2021 Our paper about domain adaptation-based load monitoring was accepted to IEEE Transactions on Network Science and Engineering.
Oct 2019 I commenced my PhD studies at the University of Sydney, Australia
Jun 2019 I received University of Sydney International Scholarship (USydIS)
Mar 2019 We have 1 paper accepted to IEEE Transaction on Neural Networks and Learning Systems.
Oct 2017 I presented at IEEE IST 2017, Beihang University, Beijing, China.
Sep 2017 I recieved National Scholarship award. (Ministry of Education, China, Top 2%)

Recent Publications

  1. arXiv
    Non-Intrusive Load Monitoring in Smart Grids: A Comprehensive Review
    Yinyan Liu, Yi Wang, Jin Ma*
    arXiv preprint arXiv:2403.06474 (arXiv), 2024
    PDF
  2. APSRC
    Actionable Insights: A Multi-algorithm approach to PV Performance Diagnostics.
    Fiacre Rougieux*, Yinyan Liu, Earl Duran, Clement Meers, Ibrahim Ibrahim, Jonathan Rispler, Bernardo Mendonca, Anna Bruce, and  Chris Martell
    The Asia-Pacific Solar Research Conference. (APSRC), 2024
    PDF Code
  3. PVSEC
    Challenges of Implementing Performance-to-Peers Algorithms for Fault Detection in Distributed Commercial PV Systems
    Yinyan Liu*,  Earl Duran,  Anna Bruce,  Baran Yildiz,  Chris Martell,  and  Fiacre Rougieux
    The 34th International Photovoltaic Science and Engineering Conference (PVSEC-34) (PVSEC-34), 2023
    PDF Code
  4. PESGM
    Low-Carbon Community Energy Management Incorporating Data-Driven User Segmentation
    Yinyan Liu,  Lei Bai,  and  Jin Ma*
    The 2023 IEEE Power Energy Society (PES) General Meeting (GM) (PESGM), 2023
    PDF
  5. TII
    Self-Supervised Feature Learning for Appliance Recognition in Non-Intrusive Load Monitoring
    Yinyan Liu,  Lei Bai,  Jin Ma*,  Wei Wang,  and  Wanli Ouyang
    IEEE Transactions on Industrial Informatics, vol. 20, no. 2, pp. 1698-1710, Feb. 2024, doi: 10.1109/TII.2023.3280445 (TII), 2024
    PDF
  6. Applied Energy
    A home energy management system incorporating data driven uncertainty-aware user preference
    Yinyan Liu,  Jin Ma*,  Xinjie Xing,  Xinglu Liu,  and  Wei Wang
    Applied Energy, vol. 326, p. 119911, 2022 (Appled Energy), 2022
    PDF
  7. ISGT-Asia
    Community Energy Cooperation with Shared Energy Storage for Economic-Environment Benefits.
    Yinyan Liu,   Yunqi Wang,  Haoning Xi,  Jun Lin,  and  Jin Ma*
    11th International Conference on Innovative Smart Grid Technologies (ISGT-Asia), 2022
    PDF
  8. TSG
    SAMNet: Towards Latency-Free Non-Intrusive Load Monitoring Via Multi-Task Deep Learning.
    Yinyan Liu,  Qiu Jing*,  and  Jin Ma
    IEEE Transactions on Smart Grid (TSG), vol. 13, no. 3, pp. 2412-2424, May 2022 (TSG), 2022
    PDF
  9. IJEPES
    Risk hedging strategies for electricity retailers using insurance and strangle weather derivatives.
    Shuying Lai,  Jing Qiu*,  Yuechuan Tao,  and  Yinyan Liu
    International Journal of Electrical Power & Energy Systems (IJEPES), 2022
    PDF
  10. TNSE
    A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring
    Yinyan Liu,  Qiu Jing*,  Junda Lu,  Wei Wang,  and  Jin Ma
    IEEE Transactions on Network Science and Engineering (TNSE), vol. 9, no. 2, pp. 755-768, 1 March-April 2022. (TNSE), 20222
    PDF
  11. TII
    Unsupervised Domain Adaptation for Non-Intrusive Load Monitoring Via Adversarial and Joint Adaptation Network
    Yinyan Liu,  Li Zhong,  Jing Qiu*,  Junda Lu,  and  Wei Wang
    IEEE Transactions on Industrial Informatics (TII), vol. 18,no. 1, pp. 266-277, 2021. (TII), 2021
    PDF
  12. TNNLS
    Flow Adversarial Networks: Flowrate Prediction for Gas–Liquid Multiphase Flows Across Different Domains.
    Delin Hu,  Jinku Li,  Yinyan Liu,  and  Yi Li
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no.2, pp. 475-487, Feb. 2020. (TNNLS), 2020
    PDF
  13. MST
    Experimental measurement of oil-water two-phase flow by data fusion of electrical tomography sensors and venturi tube
    Yinyan Liu,  Yuchi Deng,  Maomao Zhang,  Peining Yu,  and  Yi Li*
    Measurement Science and Technology (MST),2017, 25(9). (MST), 2017
    PDF
  14. ISG
    Experimental investigation of gas-oil two-phase flow using electrical capacitance tomography.
    Yinyan Liu,  Yuchi Deng,  and  Yi Li*
    IEEE International Conference on Imaging Systems and Techniques (ISG), 2017
    PDF
  15. ISG
    The GVF measurement and flow regime study of gas-water flows by ERT sensor
    Yuchi Deng,  Yinyan Liu,  and  Yi Li*
    IEEE International Conference on Imaging Systems and Techniques (ISG), 2017
    PDF
  16. MST
    Image reconstruction algorithms for electrical capacitance tomography based on ROF model using new numerical techniques
    Jiaoxuan Chen,  Maomao Zhang,  Yinyan Liu,  Jiaoliao Chen,  and  Yi Li*
    Measurement Science and Technology, 2017, 28(3): 035404. (MST), 2017
    PDF