DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany

Marc Wenninger; Andreas Maier; Jochen Schmidt

doi:10.1038/s41597-021-00963-2

Scientific Data (Jul 2021)

DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany

Marc Wenninger,
Andreas Maier,
Jochen Schmidt

Affiliations

Marc Wenninger: Rosenheim Technical University of Applied Sciences, Dep. of Computer Science
Andreas Maier: Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg
Jochen Schmidt: Rosenheim Technical University of Applied Sciences, Dep. of Computer Science

DOI: https://doi.org/10.1038/s41597-021-00963-2
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 15

Abstract

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Measurement(s) domestic appliance electricity usage • whole-house mains reading • ground truth event annotations Technology Type(s) energy measurement system • Annotation Sample Characteristic - Environment house Sample Characteristic - Location Germany Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14753556

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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