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
System-wide Probabilistic Energy Forecasting
EPSRC (Engineering and Physical Sciences Research Council)
29/06/18 → 28/06/21
Project: Research Fellowship
KTP - Insight Analytics
McMillan, D., Browell, J. & Stephen, B.
Insight Analytics Solutions Limited, KTP Govt (TSB)
4/09/17 → 3/09/20
Project: Research
Research Output 2013 2018
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 journal › Article
Open Access
File
Self organizing maps
Sea level
Statistical methods
Risk constrained trading strategies for stochastic generation with a single-price balancing market
Browell, J. 25 May 2018 In : Energies. 11, 6, 17 p., 1345Research output: Contribution to journal › Article
Open Access
File
Trading Strategies
Balancing
Forecast
Electricity Market
Hedging
Datasets
Supplementary Material to 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
EEM 2017 Wind Power Forecasting Competition: Competition Data and Code used by the Winning Team
Browell, J. (Creator), Gilbert, C. (Creator), University of Strathclyde, 8 May 2017
DOI: 10.15129/01f10e89-3a33-4437-8b2e-9b53c70dad4f, http://eem2017.com/program/forecast-competition and 2 more links, https://cloudstore.zih.tu-dresden.de/index.php/s/DYt48551xFvUEqM, http://www.emc.ncep.noaa.gov/GFS/ (show fewer)
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 2018
Dynamic Dependency Structures in Short-term Solar Power Forecasts
Browell, J. (Speaker)16 Mar 2018
Activity: Invited talk