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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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2011 2021
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
Middleware
Electric power distribution
Smart meters
Learning systems
Availability
TIC-LCPE: Hydro-04 - Sub-seasonal to Seasonal Hydro Resource Forecasting
Browell, J., Bertram, D. & White, C.
1/04/19 → 31/03/20
Project: Research
Research Output 2013 2019
Access forecasting for safety-critical crew transfers in offshore environments
Browell, J., Gilbert, C. & McMillan, D., 18 Jun 2019.Research output: Contribution to conference › Speech
Improved very short‐term spatio‐temporal wind forecasting using atmospheric regimes
Browell, J., Drew, D. R. & Philippopoulos, K., 27 Jun 2019.Research output: Contribution to conference › Speech
Datasets
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
Supplementary Material for: "Leveraging Turbine-level Data for Improved Probabilistic Wind Power Forecasting"
Gilbert, C. (Creator), Browell, J. (Creator), McMillan, D. (Creator), University of Strathclyde, 2018
DOI: 10.15129/16283615-65e4-402d-8fe6-cc9916e37a74
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 Gilbert (Recipient), 2017
Prize: Prize (including medals and awards)
Wind power
Solar wind
Farms
Electricity
Students
EPSRC Doctoral Prize
Jethro Browell (Recipient), 1 Oct 2015
Prize: Prize (including medals and awards)
research project
funding
student
Activities 2013 2019
Spatio-temporal Aspects of Probabilistic Wind Power Forecasting
Jethro Browell (Speaker)Aug 2019 → …
Activity: Talk or presentation types › Invited talk
39th International Symposium on Forecasting
Jethro Browell (Organiser)16 Jun 2019 → 19 Jun 2019
Activity: Participating in or organising an event types › Organiser of major conference