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Personal profile

Research Interests

My main research focus is on the application of Machine Learning to intensive condition monitoring applications in the power and agriculture sectors to automate condition assessment, anomalous condition detection and simulation of future behaviours.

Current research activities can be broadly divided into the following areas:

  • Machine Learning applications in power system condition monitoring
  • Distributed information systems for power system condition monitoring and asset management
  • Modelling and analysis of wind energy systems
  • Analysis and automation methods in demand side energy management
  • Machine Learning applications in animal welfare
  • Wireless ad-hoc networking for livestock monitoring

These include collaborations outside of InstEE with CIDCOM, SAC Easter Bush and Embedded Technology Solutions Ltd.

Personal Statement

I joined the University in 1998 and came to work in the Department of Electronic and Electrical Engineering in April 1999. Previously, I had studied Aeronautical Engineering at Glasgow University at undergraduate level and then undertook postgraduate study in the department Computer Science at Strathclyde, gaining an MSc here in 1998. My current research focuses on developing analytical tools to support advances in power systems operation and management such as increasing plant reliability, integrating renewable generation and understanding energy end use. I am currently an investigator on the EU FP7 Orchestrating Renewable Integrated Generation in Neighbourhoods (ORIGIN) project and co-investigator on the EPSRC BuildTEDDI Aging Population Attitudes to Sensor Controlled Home Energy (APAtSCHE) project. I teach two courses on the Electrical Mechanical Engineering degree stream: Engineering Computing and Integrated Design as well as supervising project work undertaken by 4th year, 5th year, MSc and Centre for Doctoral Training PhD students.

Education/Academic qualification



Bachelor of Science, University of Glasgow

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Projects 2012 2022

Electric power distribution
Smart meters
Learning systems

Feasibility of feeder dynamic plase balancing using flexible loads

Stephen, B. & Jennett, K.

EA Technology Ltd


Project: Research - no external fundingResearch (No External Funding)

Research Output 2003 2019

A novel implementation of vibration signal decomposition for estimation of degradation in rotating plant

Brown, B., Stephen, B., McArthur, S., West, G. & Michie, C., 26 Apr 2019, (Accepted/In press). 12 p.

Research output: Contribution to conferencePaper

Open Access
Open Access
Electric power distribution
Waveform analysis
Power quality
Fault detection


Whitelee SCADA Dataset

Pattison, D. (Creator), University of Strathclyde, 7 Sep 2015


Activities 2010 2018

QFF Quarterly Forecasting Forum, June 2018

Jethro Browell (Organiser), Bruce Stephen (Organiser), Stuart Galloway (Organiser)
8 Jun 2018

Activity: Participating in or organising an event typesOrganiser of special symposia

Invited Talk - New Thames Valley Vision Workshop

Bruce Stephen (Invited speaker)
18 Sep 2014

Activity: Talk or presentation typesInvited talk