14:30 - 16:00 Wake modelling and forecasting
Resource assessment
Room: Hall E
In the session there will be five presentations on wake modelling and forecasting. They will focus on the limitations in wake modelling including comparison with field data, and will move into short-term power production forecasting as well as studies of uncertainty in wind power forecast methods.
You attended this session?
Learning objectives
- Understand the latest news regarding limitations and possibilities within wake modelling approaches;
- Exemplify forecast methods and their ability to accurately predict short time ahead production output;
- Address the importance of atmospheric stability in wind power forecasting and wake modelling;
- Determine whether simple linear wake combination methods as presently used in commercial analytical software can correctly represent turbine interactions.
Presenter
Co-authors:
Alla Sapronova (1) F Catherine Meissner (2) Matteo Mana (2)
(1) Uni Research, Bergen, Norway (2) WindSim, Tonsberg, Norway
Presenter's biography
Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here uneditedDr Alla Sapronova has PhD in Physics and Mathematics from Moscow State University, Russia. She is working as senior researcher at Uni Research since 2010. Her current research focuses on predictive model development, data mining, knowledge extraction, and big data analysis using machine learning algorithms. The application lies mainly in renewable energy sector where she developed a number of models for weather or wind power prediction short and long time ahead.
Follow EWEA on: