Supplementary Material | Continual learning for very short-term load forecasting: A Case Study on parts cleaning
| dc.contributor.author | Magin, Jonathan | |
| dc.contributor.author | Zink, Robin | |
| dc.contributor.author | Luu, Daniel | |
| dc.contributor.author | Baumert, Celina | |
| dc.contributor.author | Tettschlag, Nils | |
| dc.date.accessioned | 2025-04-04T13:15:28Z | |
| dc.date.available | 2025-04-04T13:15:28Z | |
| dc.date.created | 2024-07 | |
| dc.date.issued | 2025-04-04 | |
| dc.description | 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. | de_DE |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4537 | |
| dc.language.iso | en | de_DE |
| dc.rights.license | CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0) | |
| dc.subject | Load forecasting | de_DE |
| dc.subject | parts cleaning | de_DE |
| dc.subject | Machine Learning | de_DE |
| dc.subject.classification | 4.43-04 | |
| dc.subject.ddc | 004 | |
| dc.title | Supplementary Material | Continual learning for very short-term load forecasting: A Case Study on parts cleaning | de_DE |
| dc.type | Dataset | de_DE |
| dc.type | Text | de_DE |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.project | Bund/BMBF | 03SFK3A0-3 | SynErgie3 | |
| tuda.unit | TUDa |