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