Abstract
Due to the increasing spread of smart meters, numerous researchers are currently working on disaggregating the power consumption data. This procedure is commonly known as Non-Intrusive Load Monitoring (NILM). However, most approaches to energy disaggregation first require a labeled dataset to train these algorithms. In this paper, we present a new labeled power consumption dataset that was collected in 20 private households in Germany between September 2019 and July 2020. For this purpose, the total power consumption of each household was measured with a commercial available smart meter and the individual consumption data of 10 selected household appliances were collected.
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This work was funded by the Bavarian State Ministry of Family Affairs, Labor, and Social Affairs.
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Wilhelm, S., Jakob, D., Kasbauer, J., Ahrens, D. (2022). GeLaP: German Labeled Dataset for Power Consumption. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_5
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DOI: https://doi.org/10.1007/978-981-16-2377-6_5
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