Dr Jethro Browell
- Senior Lecturer (Statistics)
Jethro received the M.Phys. degree in Mathematics and Theoretical Physics from the University of St Andrews in 2011, and the Ph.D. degree in wind energy systems from the University of Strathclyde in 2015. He was a member of research and academic staff at Strathclyde from 2015 to 2021, during which time he held established the Energy Forecasting Research group and held an EPSRC Innovation Fellowship titled "System-wide probabilistic energy forecasting".
In 2021 Jethro joined the School of Mathematics and Statistics at the University of Glasgow as a Senior Lecturer in Statistics. He is an active member of the IEEE Power & Energy Society, and is currently vice-chair of their Working Group on Energy Forecasting and Analytics. He is also Secretary of the UK Chapter of the International Institute of Forecasters, a Fellow of the Royal Statistical Society, and active in the International Energy Agentcy Wind Task 36 (forecasting).
Jethro has worked extensively with the energy industry in the UK and Europe developing methods for modelling and forecasting wind power production and electricity demand amongst other things. Several electricity generators and network operators are using forecasts and decision-support produced by his tools today.
My core research interest is the production and use of probabilsitic forecasts, those which quantify uncertainty. This includes development of novel forecasting methodologies, forecast evaluation, and the use of forecasts in decision-making, particularly in the energy sector. More generally I'm interested in regression/supervised learning, time series anlaysis, and decision-making under risk and uncertainty. I often work at the intersection of statistics, engineering, and meteorology.
My expertise may be summarised as:
- Probabilistic forecating: methodology and evaluation
- Decision-making under uncertainty
- Time series: classical and machine learnning methods
- Energy foreasting: wind, solar, demand, prices and more
- Use of forecasts in energy trading and power system operation
- EPSRC Innovation Fellowship: "System-wide probabilsitic energy forecasting" [EP/R023484/1]
- EPSRC: "Analytical Middleware for Informed Distribution Networks (AMIDiNe)" [EP/S030131/1]
- EPSRC Supergen Energy Networks Hub: "Energy Forecasting for Market-led Multi-vector Networks"
I welcome enquieries from prospective PhD students and industrial partners interested in any of the following topics. Please contact me directly in the first instance to discuss research interests, funding & scholarships, and life at Glasgow.
- Probabilistic forecasting: high-dimensional and multivariate prediction, statistical methods for forecast production, evaluation and decision-support
- Energy forecasting (wind power, solar power, energy demand, energy prices): method and applications for system operation and market participation
- Statistical post-processing of numerical weather prediction: ensemble post-processing, sub-seasonal to seasonal forecasting, applications and decision-support
Current PhD Students:
- Leo May: Forecasting and Analytics for Offering Frequency Response From Wind
- Rosemary Tawn: Predictive Analytics for Short-term Wind and Solar Power Forecasting (with Natural Power)
Past PhD Students:
- Ciaran Gilbert: Topics in High-Dimensional Energy Forecasting
My current teaching duties include:
- Houours, MSci and MSc project supervision
- Time Series (H/M, Semester 2)
- MSci Work Placement Coordinator
Professional activities & recognition
- 2018 - 2021: EPSRC Innovation Fellowship
Grant committees & research advisory boards
- 2021: EPSRC, Associate Peer Review College
- 2020: Renewable and Sustainable Energy Reviews
- 2021: Sustainable Energy, Grids and Networks
Professional & learned societies
- 2015: Senior Member, IEEE (The Institute of Electrical and Electronics Engineers)
- 2016: Secretary, UK Chapter, International Institute of Forecasters
- 2017: Fellow, Royal Statistical Society
- 2021: Vice-chair, IEEE PES Working Group on Energy Forecasting and Analytics
- 2017: Fellow, Higher Education Academy / Advance HE
Links to pre-prints/open-access versions of papers, code and more are available at www.jethrobrowell.com