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Building power demand forecasting using K-nearest neighbours model - practical application in Smart City Demo Aspern project

Valgaev, Oleg; Kupzog, Friederich; Schmeck, Hartmut 1
1 Forschungszentrum Informatik, Karlsruhe (FZI)


Following the ongoing transformation of the European power system, in the future, it will be necessary to locally balance the increasing share of decentralised renewable energy supply. Therefore, a reliable short-term load forecast at the level of single buildings is required. In this study, we use a forecaster, which is based on K-nearest neighbours approach and was introduced in an earlier publication, on three buildings of Smart City Demo Aspern project. The authors demonstrate how this forecaster can be applied on different buildings without any manual setup or parametrisation, showing that it is viable to replace load-profiling solutions for predicting electricity consumption at the level of single buildings.

Verlagsausgabe §
DOI: 10.5445/IR/1000083806
Veröffentlicht am 06.07.2018
DOI: 10.1049/oap-cired.2017.0419
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Universität Karlsruhe (TH) – Einrichtungen in Verbindung mit der Universität (Einrichtungen in Verbindung mit der Universität)
Forschungszentrum Informatik, Karlsruhe (FZI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 2515-0855
KITopen-ID: 1000083806
Erschienen in 24th International Conference and Exhibition on Electricity Distribution, CIRED 2017; Glasgow; United Kingdom; 12 June 2017 through 15 June 2017
Verlag IET
Seiten 1601-1604
Serie CIRED - Open Access Proceedings Journal ; 2017
Nachgewiesen in Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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