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Accepting PhD Students

20122020

Research output per year

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Personal profile

Research interests

Profile 

Dr Li  graduated from both University of Bath and North China Electric Power University in 2011 with BEng in electrical power engineering.

He received his PhD in 2014 from Bath, with thesis entitled “Load profiling on time-frequency domain: from big data to smart data”.

Between 2014 and 2015, Ran worked as research associate (RA) in an EPSRC UK-China smart grid project. He took up a lectureship in September 2015.

Research interests

Dr Li has developed a set of big data analytic techniques based on statistics and spectral analysis in order to address challenges brought by smart grid and smart meters. He has extensive experience in working with UK power industry and regulator in low carbon distribution network development and smart metering reform.

Willing to supervise PhD

Interested in supervising students. PhD studentship available. Interested candidates should contact Dr Li directly.

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Projects

Customer-Led Distribution System (From DNO to DSO)

Li, F., Gu, C., Hernando Gil, I., Li, R., Ma, K. & Pei, X.

19/10/1730/04/19

Project: UK industry

EMBOSSA

Li, R., Le Blond, S. & Li, F.

Engineering and Physical Sciences Research Council

1/04/1731/03/18

Project: Research council

  • Research Output

    A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty

    Zhang, Z., Li, R. & Li, F., 31 Mar 2020, In : IEEE Transactions on Smart Grid. 11, 2, p. 1205-1215 11 p., 8789684.

    Research output: Contribution to journalArticle

    Regional nonintrusive load monitoring for low voltage substations and distributed energy resources

    Wang, S., Li, R., Evans, A. & Li, F., 15 Feb 2020, In : Applied Energy. 260, 114225.

    Research output: Contribution to journalArticle

    A Statistical Approach to Estimate Imbalance-Induced Energy Losses for Data-Scarce Low Voltage Networks

    Fang, L., Ma, K., Li, R., Wang, Z. & Shi, H., 31 Jul 2019, In : IEEE Transactions on Power Systems. 34, 4, p. 2825-2835 11 p., 8606229.

    Research output: Contribution to journalArticle

    Open Access
    File
    1 Citation (Scopus)
    76 Downloads (Pure)

    Big Data Analytics for Flexible Energy Sharing: Accelerating a Low-Carbon Future

    Li, F., Li, R., Zhang, Z., Dale, M., Tolley, D. & Ahokangas, P., 1 May 2018, In : IEEE Power and Energy Magazine. 16, 3, p. 35-42 8 p.

    Research output: Contribution to journalArticle

    Open Access
    File
    5 Citations (Scopus)
    97 Downloads (Pure)

    Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

    Shi, H., Xu, M. & Li, R., 30 Sep 2018, In : IEEE Transactions on Smart Grids. 9, 5, p. 5271-5280 10 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 116 Citations (Scopus)
    1306 Downloads (Pure)

    Thesis

    3D Face Recognition Using Multicomponent Feature Extraction from the Nasal Region and its Environs

    Author: Gao, J., 23 Nov 2016

    Supervisor: Evans, A. (Supervisor) & Li, R. (Supervisor)

    Student thesis: Doctoral ThesisPhD

    File

    Load Profiling on Time and Spectral Domain: From Big Data to Smart Data

    Author: Li, R., 19 Jan 2015

    Supervisor: Li, F. (Supervisor)

    Student thesis: Doctoral ThesisPhD

    File

    Smart Meter Data Analytics

    Author: Xu, M., 29 May 2019

    Supervisor: Li, F. (Supervisor), Evans, A. (Supervisor) & Li, R. (Supervisor)

    Student thesis: Doctoral ThesisPhD

    File