Stephen McArthur, BEng(Hons) PhD CEng FIET FIEEE


  • United Kingdom

1996 …2023
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Personal profile

Research Interests

  • Artificial Intelligence (AI) and intelligent system applications in power engineering
  • Engineering application of data science and data analytics
  • Condition monitoring, diagnostics and prognostics for equipment, plant and power networks
  • Distributed intelligence in electric power systems, active network management and Smart Grids
  • Nuclear power plant monitoring, diagnosis, prediction, and lifetime extension
  • Intelligent system methods: knowledge based systems; model based reasoning; machine learning
  • Multi-Agent Systems and Intelligent Agents: multi-agent methods, models, techniques and architectures for power engineering applications
  • Decision support environments

Personal Statement

My area of expertise is intelligent system applications in energy, covering condition monitoring, diagnostics and prognostics, active network management and wider smart grid applications. My research leadership roles include being Director of the EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids, which is a partnership between Strathclyde and Imperial College, London. I am also Academic Director of the Advanced Nuclear Research Centre at the University of Strathclyde. This is delivering a range of solutions for through-life plant management to UK and international industrial partners. As part of this activity I am the Academic Principal Investigator on the EPSRC Prosperity Partnership programme entitled "Delivering Enhanced Through-Life Nuclear Asset Management". 

I lead the UKRI EnergyREV programme. This brings together 22 universities and 32 investigators to deliver novel research and innovation that will accelerate the uptake, value and impact of Smart Local Energy Systems. EnergyREV is a key component of the UK Industrial Strategy Challenge Fund’s Prospering from the Energy Revolution (PFER) programme. PFER intends to prove investable, scalable local business models using integrated approaches to deliver cleaner, cheaper energy services.

Within the University I am a Deputy Associate Principal for Research, Knowledge Exchange and Innovation with a remit including REF 2021 preparation and EPSRC relationship management. I am also co-Director of the Institute for Energy and Environment and Academic Director of the Low Carbon Power and Energy Programme within the Technology and Innovation Centre. Previously, from August 2011 until June 2014, I was the Head of the Department of Electronic and Electrical Engineering.

Teaching Interests

My teaching activities cover intelligent systems, distributed intelligence in power systems, smart grids, condition monitoring, and diagnostic systems.

Expertise & Capabilities

  • Intelligent systems, with a focus on power and energy applications.
  • Research and development of diagnostic and prognostic decision support systems.
  • Decision support frameworks and architectures, using distributed intelligence methods and platforms.
  • Smart Grid applications.
  • Plant lifetime extension in the civil nuclear industry.

Education/Academic qualification


Bachelor of Engineering, UNIVERSITY OF STRATHCLYDE

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Projects 2005 2023

Research Output 1996 2019

9 Citations (Scopus)

Adaptive power transformer lifetime predictions through machine learning and uncertainty modelling in nuclear power plants

Aizpurua, J. I., McArthur, S. D. J., Stewart, B. G., Lambert, B., Cross, J. G. & Catterson, V. M., 1 Jun 2019, In : IEEE Transactions on Industrial Electronics. 66, 6, p. 4726-4737 12 p.

Research output: Contribution to journalArticle

Open Access
Power transformers
Nuclear power plants
Learning systems
Measurement errors

A generalized model for fuel channel bore estimation in AGR cores

Young, A., Berry, C., West, G. M. & McArthur, S. D. J., 13 Jun 2019, (Accepted/In press) In : Nuclear Engineering and Design. 13 p.

Research output: Contribution to journalArticle

gas cooled reactors
Gas cooled reactors
reactor cores
Reactor cores
Channel estimation


A data analytic approach to automatic fault diagnosis and prognosis for distribution automation

Author: Wang, X., 1 Oct 2015

Supervisor: McArthur, S. (Supervisor) & Strachan, S. (Supervisor)

Student thesis: Doctoral Thesis

A framework for developing a prognostic model using partial discharge data from electrical trees

Author: Nur Hakimah Binti AB Aziz, N., 1 Dec 2014

Supervisor: McArthur, S. (Supervisor) & (Supervisor)

Student thesis: Doctoral Thesis


IEEE Power & Energy Society Technical Committee Prize Paper Award.

Stephen McArthur (Recipient), Jul 2010

Prize: Prize (including medals and awards)

Systems analysis

IEEE Power & Energy Society Technical Committee Working Group Recognition Award

Stephen McArthur (Recipient), Jul 2008

Prize: Prize (including medals and awards)

Multi agent systems

Activities 2008 2018

Engineering and Physical Sciences Research Council (External organisation)

Stephen McArthur (Advisor)
1 Jan 201831 Dec 2020

Activity: Membership typesMembership of committee

Keynote Presentation on "Digitilisation in Nuclear - Harnessing Data Science for Enhanced Through Life Management of Nuclear Plants"

Stephen McArthur (Speaker)
24 Jan 2018

Activity: Talk or presentation typesInvited talk


A Sustainable Energy Future

Stephen McArthur (Participant)

Impact: Impact - for External PortalEconomic and commerce

Energy Access in Rural Malawi

Peter Dauenhauer (Participant), Damien Frame (Participant), George Bell (Participant), Stephen McArthur (Participant), Magnus Currie (Participant)

Impact: Impact - for External PortalEconomic and commerce, Environment and sustainability - natural world and built environment, Health and welfare - new products, guidelines and services, Quality of life and safety, Education, Policy and legislation, Public understanding, information and debate