Rui Yuan

Rui Yuan

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology


As a PhD candidate working on an industrial program, I'm commencing research aiming to develop, test, and verify statistical models based on machine learning techniques to quantify prosumers’ responsiveness to time-varying prices in real-time. My research interest includes Power and Energy System Engineering, Pattern Recognition, Data Mining, and Explainable Machine Learning in Power System. My other skills include forecasting and modelling (achieved 5th place in IEEE-CIS DATA CHALLENGE 2021), web development (served as web chair of the 32nd Australasian Universities Power Engineering Conference), and synthetic data generation (Synthetic dataset published in Scientific Data by Nature).

  • Journals

    Year Citation
    2024 Yuan, R., Pourmousavi, S. A., Soong, W. L., Black, A. J., Liisberg, J. A. R., & Lemos-Vinasco, J. (2024). Unleashing the benefits of smart grids by overcoming the challenges associated with low-resolution data. Cell Reports Physical Science, 5(2), 101830.
    DOI
    2023 Yuan, R., Pourmousavi, S. A., Soong, W. L., Nguyen, G., & Liisberg, J. A. R. (2023). IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications. Engineering Applications of Artificial Intelligence, 117, 105588.
    DOI Scopus4 WoS1
    2023 Yuan, R., Pourmousavi, S. A., Soong, W. L., Black, A. J., Liisberg, J. A. R., & Lemos-Vinasco, J. (2023). A synthetic dataset of Danish residential electricity prosumers. Scientific Data, 10(1), 15 pages.
    DOI Scopus1 Europe PMC1
    2023 Dinh, N. T., Karimi-Arpanahi, S., Yuan, R., Pourmousavi, S. A., Guo, M., Liisberg, J. A. R., & Lemos-Vinasco, J. (2023). Modelling Irrational Behaviour of Residential End Users using
    Non-Stationary Gaussian Processes.
    2023 Yuan, R., Pourmousavi, S. A., Soong, W. L., Black, A. J., Liisberg, J. A. R., & Lemos-Vinasco, J. (2023). A New Time Series Similarity Measure and Its Smart Grid Applications.
  • Conference Papers

    Year Citation
    2022 Kumar, Y. P. S., Yuan, R., Dinh, N. T., & Pourmousavi, S. A. (2022). Optimal activity and battery scheduling algorithm using load and solar generation forecasts. In 2022 32nd Australasian Universities Power Engineering Conference (AUPEC) Vol. abs/2210.12990 (pp. 1-6). Adelaide, SA. Aust: IEEE.
    DOI
  • Preprint

    Year Citation
    2024 Yuan, R., Pourmousavi, S. A., Soong, W. L., & Liisberg, J. A. R. (2024). Dynamic and Memory-efficient Shape Based Methodologies for User Type
    Identification in Smart Grid Applications.

Teaching assistant for:

ELEC_ENG_2100 Digital System (FPGA)
ELEC_ENG_1102 Digital Electronics
ELEC_ENG_4100 Business Management Systems

Head of Teaching Assistants for:
COMP_SCI_7210 Foundations of Computer Science A
COMP_SCI_7211 Foundations of Computer Science B


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