Autor(en): | Surmann, Dirk Ligges, Uwe Weihs, Claus |
Titel: | Predicting Measurements at Unobserved Locations in an Electrical Transmission System |
Sprache (ISO): | en |
Zusammenfassung: | Electrical Transmission Systems consist of a huge number of locations (nodes) with different types of measurements available. Our aim is to derive a subset of nodes which contains almost sufficient information to describe the whole energy network. We derive a parameter set which characterises every single measuring location or node, respectively. Via analysing the behaviour of each node with respect to its neighbours, we construct a feasible random field metamodel over the whole transmission system. The metamodel works in a discrete spatial domain to smooth the measurements across the network. In the next step we work with a subset of locations to predict the unobserved ones. We derive different graph kernels to define the missing covariance matrix from the neighbourhood structures of the network. This results in a metamodel that is able to predict unobserved locations in a spatial domain with non-isotropic distance functions. |
Schlagwörter: | Measurement Prediction Discrete Random Field Model Graph Kernels |
URI: | http://hdl.handle.net/2003/34441 http://dx.doi.org/10.17877/DE290R-16497 |
Erscheinungsdatum: | 2016-01-06 |
Enthalten in den Sammlungen: | DFG-Forschergruppe: Schutz- und Leittechnik zur zuverlässigen und sicheren Energieübertragung |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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PredictingMeasurements.pdf | DNB | 277.79 kB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource ist urheberrechtlich geschützt. |
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