Projects per year
Personal profile
Research Interests
I am interested in statistical uncertainty and the role it plays in decision making, particularly in the energy sector. Many real world processes are stochastic in nature and in order to make optimal decisions one must approach the problem from a probabilistic perspective. My research to date has focused on energy forecasting, including wind, solar, demand and price, and the role that forecasts play in electricity market participation and power system operation. I have worked extensively on spatio-temporal aspects of renewable energy forecasting, and in addition I have worked on wind and wave forecasting for offshore maintenance/installation.
Expertise & Capabilities
I have broad expertise in energy forecating methodology, GB electricity market arrangments, and the use of probabilistic information in decision-making. I have particular expertise in time-series modelling for very-short-term energy forecasting, and short-term forecasting based on numerical weather prediction.
Education/Academic qualification
Master of Physics, University of St Andrews
Doctor of Philosophy, University Of Strathclyde
1 Oct 2011 → 30 Sep 2015
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Projects
AMIDiNe: Analytical Middleware for Informed Distribution Networks (AMIDiNe)
Stephen, B., Browell, J., Galloway, S. & Wallom, D.
EPSRC (Engineering and Physical Sciences Research Council)
1/06/19 → 31/05/21
Project: Research
Research Output
Containing a credible loss to within frequency stability limits in a low inertia GB power system
Nedd, M., Browell, J., Bell, K. & Booth, C., 14 Mar 2020, In : IEEE Transactions on Industry Applications. 56, 2, p. 1031-1039 9 p.Research output: Contribution to journal › Article
Open Access
File
1
Citation
(Scopus)
26
Downloads
(Pure)
Evaluation of wind power forecasts – an up-to-date view
Messner, J. W., Pinson, P., Browell, J., Bjerregård, M. B. & Schicker, I., 30 Jun 2020, In : Wind Energy. 23, 6, p. 1461-1481 21 p.Research output: Contribution to journal › Article
File
Datasets
Data and Code for the EEM2020 Wind Power Forecasting Competition
Browell, J. (Creator), Gilbert, C. (Creator), Tawn, R. (Creator), May, L. (Creator), University of Strathclyde, 2 Jul 2020
DOI: 10.15129/02db89e9-64d1-4ded-9324-6d952ce35099, https://eem20.eu/ and one more link, https://youtu.be/pxkg48BBFYM (show fewer)
Dataset
Supplementary Material for: "Leveraging Turbine-level Data for Improved Probabilistic Wind Power Forecasting" (Revised)
Gilbert, C. (Creator), Browell, J. (Creator), McMillan, D. (Creator), University of Strathclyde, 23 May 2019
DOI: 10.15129/6b949176-4608-430c-b13c-b201afb921c4
Dataset
Thesis
Spatio-temporal prediction of wind fields
Author: Browell, J., 1 Oct 2015Supervisor: Weiss, S. (Supervisor) & Infield, D. (Supervisor)
Student thesis: Doctoral Thesis
Prizes
1st Place: European Energy Markets Conference 2017 Wind Power Forecasting Competition
Jethro Browell (Recipient) & Ciaran P Gilbert (Recipient), 2017
Prize: Prize (including medals and awards)
2nd Place: European Energy Markets Conference 2020 Wind Power Forecasting Competition
Jethro Browell (Recipient), Ciaran Gilbert (Recipient), Rosemary Tawn (Recipient) & Leo May (Recipient), 29 Jun 2020
Prize: Prize (including medals and awards)
Activities
System-wide Probabilistic Energy Forecasting
Jethro Browell (Speaker)21 Jul 2020
Activity: Talk or presentation types › Invited talk
Next Generation Challenges in Energy-Climate Modelling
Jethro Browell (Organiser), David Brayshaw (Chair), Keith Bell (Keynote/plenary speaker)22 Jun 2020 → 23 Jun 2020
Activity: Participating in or organising an event types › Organiser of special symposia