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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

Abstract:
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.

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Verlagsausgabe §
DOI: 10.5445/IR/1000083806
Veröffentlicht am 06.07.2018
Originalveröffentlichung
DOI: 10.1049/oap-cired.2017.0419
Scopus
Zitationen: 3
Coverbild
Zugehörige Institution(en) am KIT Forschungszentrum Informatik, Karlsruhe (FZI)
Publikationstyp Proceedingsbeitrag
Jahr 2017
Sprache Englisch
Identifikator ISSN: 2515-0855
urn:nbn:de:swb:90-838062
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, Stevenage
Seiten 1601-1604
Serie CIRED - Open Access Proceedings Journal ; 2017
Nachgewiesen in Scopus
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