The PhD defence will be partially digital, in room 720, Niels Henrik Abels hus and streamed directly using Zoom. The chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the audience to ask questions ex auditorio at the end of the defence. If you would like to ask a question, click 'Raise hand' and wait to be unmuted.
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Join the disputation
The webinar opens for participation just before the disputation starts, participants who join early will be put in a waiting room.-
Submit the request to get access to the thesis (available from 25th February 13:15 until 11th March 13:15)
Trial lecture
11th of March, 10:15, Room 720, 7th floor Niels Henrik Abels hus
Main research findings
Renewable energy sources receive increasingly more attention as the world seeks cheap, reliable and less CO2-intensive ways of producing electricity. Wind is recognized as an important source of renewable energy and reaches worldwide an installed capacity of 732 GW.
However, being intermittent, wind power may imply difficulties to balance supply and demand, triggering curtailments and financial losses. In this context, accurate wind supply forecasts become imperative.
The present research merges market experience with complex statistical and applied probability techniques in order to improve our understanding of wind power forecasting. We gradually approach the problem by studying wind speeds with a daily resolution, then with an hourly granularity and finally, to a refinement of supply forecasting. In practice, we employ spatio-temporal modeling methods to predict wind speeds in the sites that are most relevant to the wind generation. At a later stage, we develop a grid-wide production model encompassing the onsite wind speed forecasts. We perform this study on the wind farms of Southern California power price area.
The main contributions of this research are (1) a novel technique of downscaling and forecasting wind speeds at wind farm locations and (2) a market-wide power production model that considers real market constraints.
Adjudication committee
Associate Professor Svetlana Borovkova, Vrije Universiteit Amsterdam
Professor Andreas Wagner, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM
Professor Tom Louis Lindstrøm, Universitetet i Oslo
Supervisors
Professor Fred Espen Benth, University of Oslo
Associate Professor Salvador Ortiz-Latorre, University of Oslo
Chair of defence
Head of Department Geir Dahl, University of Oslo