Energy Forecasting and Analytics
Energy systems are amongst the most complicated machines created by humans and underpin modern societies. The reliable and economic supply of energy requires forecast on a range of timescales from seconds to seasons ahead to inform planning and day-to-day operations. Analytics in general help individuals and companies plan their energy use and generation, and management of energy networks. As the energy sector decarbonises, it is increasingly weather-dependent while at the same time digital technologies are providing opportunities to operate energy systems more flexibly. University of Glasgow research is developing forecasting and decision-support tools that support the energy sector in the UK and globally.
Researchers
Publications
- Probabilistic forecasting of regional net-load with conditional extremes and gridded NWP, arXiv, (2021).
- Dirichlet sampled capacity and loss estimation for LV distribution networks with partial, IEEE Transactions on Power Delivery., (2020).
- Probabilistic access forecasting for improved offshore operations, International Journal of Forecasting, 37 (1), (2021).
- Leveraging turbine-level data for improved probabilistic wind power forecasting, IEEE Transactions on Sustainable Energy, 11 (3), (2020).
Grants
Partners
- National Grid
- SSE
- Scottish Power
- TNEI
- IEA Wind
- International Energy Agency