Renewable Power Forecast to Scheduling of Thermal Units
Renewable Power Forecast to Scheduling of Thermal Units
dc.contributor.author | Fonte,PM | en |
dc.contributor.author | Cláudio Monteiro | en |
dc.contributor.author | Santos,B | en |
dc.contributor.author | João Catalão | en |
dc.contributor.author | Fernando Maciel Barbosa | en |
dc.date.accessioned | 2017-11-20T10:44:42Z | |
dc.date.available | 2017-11-20T10:44:42Z | |
dc.date.issued | 2014 | en |
dc.description.abstract | In this work is discussed the importance of the renewable production forecast in an island environment. A probabilistic forecast based on kernel density estimators is proposed. The aggregation of these forecasts, allows the determination of thermal generation amount needed to schedule and operating a power grid of an island with high penetration of renewable generation. A case study based on electric system of S. Miguel Island is presented. The results show that the forecast techniques are an imperative tool help the grid management. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/3592 | |
dc.identifier.uri | http://dx.doi.org/10.1007/978-3-642-54734-8_40 | en |
dc.language | eng | en |
dc.relation | 4911 | en |
dc.relation | 6689 | en |
dc.rights | info:eu-repo/semantics/embargoedAccess | en |
dc.title | Renewable Power Forecast to Scheduling of Thermal Units | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |