Professor Stephen McArthur is Distinguished Professor of Intelligent Energy Systems and a Deputy Associate Principal (for Research, Knowledge Exchange and Innovation) at the University of Strathclyde. His main area of expertise is AI and intelligent system applications in energy covering smart grids, autonomous systems, condition monitoring and data analytics. His AI-driven decision support research has automated complex energy tasks, and has been deployed to enhance the monitoring, operation and lifetime extension of power systems and nuclear engineering systems. Solutions developed by his team have been deployed for a range of national and international energy companies. He was awarded the 2021 IEEE Richard Harold Kaufmann Award for outstanding contributions in industrial systems engineering, “for innovative contributions to the advancement of intelligent systems for power engineering applications”. He is a Chartered Engineer, a Fellow of the IET and a Fellow of the IEEE.

He is the Academic Director for Strathclyde’s Advanced Nuclear Research Centre and leads the University’s Industrial Informatics Cluster. He leads the EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids, an EPSRC Prosperity Partnership on nuclear plant lifetime management and the UKRI EnergyREV consortium focusing on smart local energy systems. He is also the co-founder and CTO of Bellrock Technology, which has developed an AI driven technology for rapidly deploying analytics.
 

AI, IoT and Data Science in Power Systems

Abstract

As we transform our energy systems to tackle climate change, power systems will be at the heart of an increasingly complex and complicated electricity system. We require improved prediction of generation and utilisation, as electrification of transport and heat accelerates. At the same time, the real-time operation, control and asset management challenges become increasingly difficult. Extensive use of IoT, coupled with advances in AI and data science, can provide increased observability, knowledge and autonomous management in this complex environment. This talk will describe the fields of AI that will underpin future power systems, with cases studies and examples of how they can be applied and implemented.