Anzeige
Erschienen in:
2003 | OriginalPaper | Buchkapitel
The accurate estimation of meteorological profiles employing ANNs
verfasst von : Tatiana Tambouratzis, Myrsini Gazela
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The lack of meteorological measurements at a location of interest (target location) constitutes a problem that is crucial for the purposes of both weather forecasting and energy system design/validation. This paper constitutes a pilot study for the accurate estimation of meteorological values at a target location employing the meteorological measurements collected at a nearby location (reference location). Artificial neural networks (ANNs) are investigated and compared with traditional estimation methods. The significance of the improvement obtained via the ANN approach both over the traditional estimation methods as well as over simply considering the measurements at the reference location is demonstrated in a number of energy applications.