Supplementary Material | Continual learning for very short-term load forecasting: A Case Study on parts cleaning
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Date
2024-07Description
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.
DFG subject classification
4.43-04 Künstliche Intelligenz und Maschinelle LernverfahrenRelated third party funded projects
Bund/BMBF | 03SFK3A0-3 | SynErgie3Collections
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