Edinburgh Research Explorer Forecasting and Probabilistic Methods for Power Systems: A Review of UK Research Citation for published version: Dent, C 2015, Forecasting and Probabilistic Methods for Power Systems: A Review of UK Research. IET. <http://www.theiet.org/sectors/energy/documents/modelling-4.cfm?type=pdf> Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact
[email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 30. Sep. 2021 Forecasting and Probabilistic Methods for Power Systems: A Review of UK Research Chris Dent Durham University
[email protected] Paper 4 of 15, Part 3: IET Special Interest Publication for the Council for Science and Technology on “Modelling Requirements of the GB Power System Resilience during the transition to Low Carbon Energy” www.theiet.org/pnjv About this report The Institution of Engineering and Technology was commissioned by the Council of Science and Technology (CST) to research the emerging challenges for modelling electricity systems and how Britain’s capabilities would need to be adapted to assess electricity system resilience as GB makes the transition to a low carbon electricity system.