SPARK: High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe

DOI

This dataset comprises high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - as well as a photovoltaic system, recorded at a 5-second sampling rate over periods ranging from one to seven years. The measurements were collected at the Campus North of the Karlsruhe Institute of Technology and include detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. This dataset provides a comprehensive basis for research on industrial energy analytics, power quality, and flexibility assessment.

The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage. Each data file contains the columns WsDateTime and the corresponding MEASUREMENT values. The accompanying validation folder mirrors this structure and includes, for each dataset, a _stats.csv file summarizing statistical metrics (mean, standard deviation, and quantiles) and a _missing.csv file detailing missing data, gap lengths, and data availability.

Identifier
DOI https://doi.org/10.35097/bjdg3m3rg5jv3skk
Related Identifier IsIdenticalTo https://publikationen.bibliothek.kit.edu/1000185704
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/bjdg3m3rg5jv3skk
Provenance
Creator Sievers, Jonas ORCID logo; Bischof, Simon; Simon, Frank ORCID logo; Blank, Thomas ORCID logo
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2026
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Size 76,2 GB
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences