Supplementary Material | Continual learning for very short-term load forecasting: A Case Study on parts cleaning - Dataset

Dataset

Supplementary Material | Continual learning for very short-term load forecasting: A Case Study on parts cleaning

Here you can find the supplementary material to the paper "Continual learning for very short-term load forecasting: A Case Study on parts cleaning". Experiments were carried out on an industrial Throughput Parts Cleaning Machine (TPCM) at the ETA factory. The machine is equipped with power measurements (1 Hz) on electrical component level. The Dataset contains 1 min averaged data of sensor and control values. Additional informations are provided as text protocol.

Identifier
Source	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4537
Metadata Access	https://tudatalib.ulb.tu-darmstadt.de/server/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/4537

Provenance
Creator	Magin, Jonathan; Zink, Robin; Luu, Daniel; Baumert, Celina; Tettschlag, Nils
Publisher	Technische Universität Darmstadt
Contributor	Technische Universität Darmstadt
Publication Year	2025
Rights	Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	https://tudatalib.ulb.tu-darmstadt.de/docs/en/kontakt/

Representation
Language	English
Resource Type	Dataset
Format	text/plain; text/csv
Size	5.09 KB; 29.27 MB
Discipline	Other