AI for decarbonisation
Monday 07 Nov 2022
Time: 10:30 - 13:30
Bio
Dr. Chris Dent is Reader (Associate Professor) in Industrial Mathematics in the School of Mathematics at the University of Edinburgh and held research and academic positions at Heriot-Watt, Marburg, Edinburgh and Durham Universities. He holds an MA in Mathematics (Cambridge University), PhD in Theoretical Physics (Loughborough University), and MSc in Operational Research (Edinburgh University). Since 2007 he has worked full time in energy systems analysis, and currently concentrates on security of supply risk analysis, and use of large scale computer models in decision making. He is a Senior Member of the IEEE, a Fellow of the Operational Research Society, and a Chartered Engineer.
Research interests
Energy systems are growing in complexity and there is a need to manage uncertainty on a range of timescales (from short run uncertainty in renewable generation output, to uncertainty in planning background when taking major policy and capital planning decisions). Dr. Dent is broadly interested in the application of data science across energy system and planning, and has a particular interest in how approaches from data science can productively be taken to practical application in government and industry.
