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Article . 2014 . Peer-reviewed

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Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden

descriptionPublicationkeyboard_double_arrow_right Article , Journal 28 Sep 2014Publisher:Walter de Gruyter GmbHJournal:at - Automatisierungstechnik, volume 62, pages 740-752 (issn: 0178-2312, eissn: 2196-677X,

Authors: Peter Bretschneider; Irina Konotop; Markus Reischl; Stefan Klaiber; Dirk Westermann; Simon Waczowicz; Ralf Mikut;

doi: 10.1515/auto-2014-1108

Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden

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Abstract

Zusammenfassung Dieser Beitrag widmet sich der Analyse der Auswirkungen von Preissignalen auf das Verbrauchsverhalten von Haushaltsstromkunden. Er schlägt einen systematischen Auswerteprozess vor, der die Datenvorverarbeitung, verschiedene Aggregationsschritte, die Analyse mit Clusterverfahren (für preisbeeinflusste Typtage bei einzelnen oder aggregierten Haushalten) und die Analyse einzelner Abtastzeitpunkte umfasst. Dieser Auswerteprozess wird auf den Olympic Peninsula Project Datensatz angewendet.

Related Organizations

Karlsruhe Institute of Technology
Germany
Ilmenau University of Technology
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Top 10%

Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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Related to Research communities

Energy Research