Rui Yuan

Rui Yuan

Higher Degree by Research Candidate

School of Electrical and Electronic Engineering

Faculty of Sciences, Engineering and Technology

As a PhD candidate working on an industrial program, I'm commencing a 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 and Data Mining, and Explainable Machine Learning in Power System

  • Journals

    Year Citation
    Yuan, R., Pourmousavi, S. A., Soong, W. L., Nguyen, G., & Liisberg, J. A. R. (n.d.). IRMAC: Interpretable Refined Motifs and Binary Classification for
    Rooftops PV Owners.
    Yuan, R., Dinh, N. T., Pipada, Y., & Pourmouasvi, S. A. (n.d.). Optimal activity and battery scheduling algorithm using load and solar
    generation forecast.

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