Wind Power Forecast with Probability Density Estimation: a Tool for the Business

dc.contributor.author Jianhui Wang en
dc.contributor.author Ricardo Jorge Bessa en
dc.contributor.author Vladimiro Miranda en
dc.contributor.author Jean Sumaili en
dc.contributor.author Audun Botterud en
dc.contributor.author Zhi Zhou en
dc.date.accessioned 2017-11-17T11:45:17Z
dc.date.available 2017-11-17T11:45:17Z
dc.date.issued 2011 en
dc.description.abstract Wind power probabilistic forecasts creates additional value (e.g. economic, environmental) when used in several decision-making problems, such as the electricity market bidding. This presentation will give the attendees insights on a new method for probabilistic wind power forecasting and how its output can be used in decision-making problems. In particular, we will focus on the following topics: - presentation of a new kernel density forecast method applied to the wind power problem; - scientific explanation complemented with insights on how the method's output can be useful for end-users; - evaluation results for a real wind farm located in U.S.A. and comparison with two methods from the state-of-the-art. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3195
dc.language eng en
dc.relation 208 en
dc.relation 5164 en
dc.relation 4882 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Wind Power Forecast with Probability Density Estimation: a Tool for the Business en
dc.type conferenceObject en
dc.type Publication en
Files