Save this page
Save this page

My Saved Pages

  • Saved page.

My Saved Courses

  • Saved page.
Reset

Recently visited

  • Saved page.

Dr Jethro Browell

Research Fellow

Electronic and Electrical Engineering

Expertise

Has expertise in:

    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.

Prizes and awards

Glasgow Research Partnership in Engineering: Postdoctoral Exchange
Recipient
2017
EPSRC Doctoral Prize
Recipient
1/10/2015
Glasgow Research Partnership in Engineering: Postdoctoral Exchange
Recipient
2015
Outstanding Student Paper Award
Recipient
2014

more prizes and awards

Publications

Risk constrained trading strategies for stochastic generation with a single-price balancing market
Browell Jethro
Energies Vol 11, (2018)
http://dx.doi.org/10.3390/en11061345
Improved very-short-term wind forecasting using atmospheric regimes
Browell J., Drew D. R., Philippopoulos K.
Wind Energy, (2018)
http://dx.doi.org/10.1002/we.2207
Towards improved understanding of the applicability of uncertainty forecasts in the electric power industry
Bessa Ricardo J., Möhrlen Corrina, Fundel Vanessa, Siefert Malte, Browell Jethro, El Gaidi Sebastian Haglund , Hodge Bri-Mathias, Cali Umit, Kariniotakis George
Energies Vol 10, (2017)
http://dx.doi.org/10.3390/en10091402
Cluster-based regime-switching AR for the EEM 2017 Wind Power Forecasting Competition
Browell Jethro, Gilbert Ciaran P
2017 14th International Conference on the European Electricity Market Conference (EEM), (2017)
Use of turbine-level data for improved wind power forecasting
Browell Jethro, Gilbert Ciaran, McMillan David
12th IEEE PES PowerTech Conference, (2017)
A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe
Malvaldi A., Weiss S., Infield D., Browell J., Leahy P., Foley A. M.
Wind Energy, (2017)
http://dx.doi.org/10.1002/we.2095

more publications

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.

Professional activities

Royal Statistical Society Conference 2017
Speaker
7/9/2017
Wind Energy Science Conference 2017
Speaker
26/6/2017
Improved Very-short-term Wind Forecasting using Atmospheric Classification
Invited speaker
2017
Probabilistic Energy Forecasting and Applications
Invited speaker
2017
Probabilistic Energy Forecasting and Applications
Invited speaker
2017
Short-term Wind Power Forecasting
Invited speaker
2017

more professional activities

Projects

KTP - Insight Analytics
McMillan, David (Principal Investigator) Browell, Jethro (Co-investigator) Stephen, Bruce (Co-investigator)
Period 04-Sep-2017 - 03-Sep-2020
Dynamic Load Grid Modelling
Browell, Jethro (Principal Investigator) Stephen, Bruce (Co-investigator) Murray, David (Researcher)
Historically, DNOs have operated with extremely limited visibility of flows on LV networks without issue as electricity consumption was predictable and smooth. Now, with the advent of domestic solar PV, distributed wind generation and the gradual electrification of heat and transport, there is a great need to increase visibility of LV networks, and this is being achieved through increased sensing of LV networks. To support the operation of these networks, it is desirable to forecast their utilisation in the short-term, from hours to days ahead, but to date, due to the previous unavailability of data and lack of need, little research has been undertaken. This project will address this emerging need with an innovative combination of network and weather data, advanced forecasting methodology and visualisation. Understanding the needs of the key stakeholders, existing data flows are required prior to suggesting and developing any models. We will apply novel analytical and statistical modelling techniques on our analytical platform to tackle this challenge.
Period 04-Sep-2017 - 31-Jan-2018
System-wide Probabilistic Energy Forecasting
Browell, Jethro (Fellow)
Period 01-Jun-2018 - 31-May-2021
TIC LCPE: Ancillary Services from Wind: Initial Survey of possible Technical and Economic Opportunities. Wind-03
Kockar, Ivana (Principal Investigator) Browell, Jethro (Co-investigator) McMillan, David (Co-investigator)
Period 01-Aug-2016 - 31-Oct-2016
Doctoral training centre in wind energy systems | Browell, Jethro
Weiss, Stephan (Principal Investigator) Infield, David (Co-investigator) Browell, Jethro (Research Co-investigator)
Period 01-Oct-2011 - 24-Sep-2015

more projects

Address

Electronic and Electrical Engineering
Technology Innovation Centre

Location Map

View University of Strathclyde in a larger map