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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 201130 Sep 2015

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2011 2021

Research Output 2013 2018

IEA wind recommended practices for the implementation of wind power forecasting solutions part 2 and 3: designing and executing forecasting benchmarks and evaluation of forecast solutions

Möhrlen, C., Lerner, J., Messner, J. W., Browell, J., Tuohy, A., Zack, J., Collier, C. & Giebel, G., 17 Oct 2018. 6 p.

Research output: Contribution to conferencePaper

Open Access
Wind power
1 Citations (Scopus)

Improved very-short-term wind forecasting using atmospheric regimes

Browell, J., Drew, D. R. & Philippopoulos, K., 25 May 2018, In : Wind Energy. 12 p.

Research output: Contribution to journalArticle

Open Access
Self organizing maps
Sea level
Statistical methods


Spatio-temporal prediction of wind fields

Author: Browell, J., 1 Oct 2015

Supervisor: Weiss, S. (Supervisor) & Infield, D. (Supervisor)

Student thesis: Doctoral Thesis


Wind power
Solar wind

EPSRC Doctoral Prize

Jethro Browell (Recipient), 1 Oct 2015

Prize: Prize (including medals and awards)

research project

Activities 2013 2018

Research and application of locational wind forecasting in the UK

Jethro Browell (Speaker)
7 Aug 2018

Activity: Talk or presentation typesInvited talk

University of Exeter

Jethro Browell (Visiting researcher)
18 Jul 201819 Jul 2018

Activity: Visiting an external institution typesVisiting an external academic institution