Projects per year
I am an interdiciplinary researcher wokring on forecasting and analytics, particularly in the energy sector. Current and recent activity include developing novel methodologies for probabilistic wind/solar/demand/price/hydro forecasting, analytics for electricity market participation including ancillary services, and optimal maintenance scheduling for on- and offshore wind farms. I work across projects funded by the EPSRC, InnovateUK and industry.
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
- Energy foreasting, including wind, solar, demand, prices and more
- Probabilistic forecating, methodology and evaluation
- Use of forecasts in energy trading and power system operation
- Decision-making under uncertainty
- Time series and machine learnning methods
Master of Physics, University of St Andrews
Award Date: 1 Jan 2011
Doctor of Philosophy, University Of Strathclyde
1 Oct 2011 → 30 Sep 2015
1/10/19 → 31/03/22
Gilbert, C., Browell, J. & McMillan, D., 1 Jan 2021, In: International Journal of Forecasting. 37, 1, p. 134-150 17 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile1 Citation (Scopus)21 Downloads (Pure)
McMillan, D., Lazic, J., Hart, E., Zen, S., Angeloudis, A., Bannon, E., Browell, J., Dorling, S., Dorrell, R. M., Foster, R., Old, C., Payne, G. S., Porter, G., Rabaenda, A. S., Sellar, B., Tapoglou, E., Trifonova, N., Woodhouse, I. H. & Zampollo, A., 1 Mar 2021, Ithaca, N.Y., 53 p.
Research output: Working paperOpen AccessFile6 Downloads (Pure)
Supplementary Material for: "Leveraging Turbine-level Data for Improved Probabilistic Wind Power Forecasting" (Revised)
Prize: Prize (including medals and awards)
Prize: Prize (including medals and awards)File