Good or Bad Wind Power Forecasts: A Relative Concept

Simple item page
dc.contributor.author Audun Botterud en
dc.contributor.author Vladimiro Miranda en
dc.contributor.author Jianhui Wang en
dc.contributor.author Ricardo Jorge Bessa en
dc.date.accessioned 2017-11-17T11:39:48Z
dc.date.available 2017-11-17T11:39:48Z
dc.date.issued 2010 en
dc.description.abstract This paper reports a study on the importance of the training criteria for Wind Power Forecasting (WPF) and a reflection of the goodness in forecasts. The study combines different training criteria and different users of the forecasts to compare them in terms of the benefits obtained in an electricity market environment. We show that the interests of wind farm owners may lead to the adoption of biased forecasts which are not adequate to good system operating policies. The ideas and conclusions are supported by results of three real wind farms. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3133
dc.language eng en
dc.relation 4882 en
dc.relation 208 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Good or Bad Wind Power Forecasts: A Relative Concept en
dc.type conferenceObject en
dc.type Publication en
Files
Collections
CPES - Indexed Articles in Conferences