- AutorIn
- Raphael M. Grund University of Applied Sciences Aachen, Germany
- Lena C. AltherrUniversity of Applied Sciences Aachen, Germany
- Titel
- Development of an Open Source Energy Disaggregation Tool for the Home Automation Platform Home Assistant
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:l189-qucosa2-838379
- Konferenz
- 19. AALE-Konferenz. Luxemburg, 08.03.-10.03.2023
- Quellenangabe
- Tagungsband AALE 2023
Herausgeber: Hochschule für Technik, Wirtschaft und Kultur Leipzig
Erscheinungsort: Leipzig
Erscheinungsjahr: 2023
ISBN: 978-3-910103-01-6 - Erstveröffentlichung
- 2023
- DOI
- https://doi.org/10.33968/2023.02
- Abstract (EN)
- In order to reduce energy consumption of homes, it is important to make transparent which devices consume how much energy. However, power consumption is often only monitored aggregated at the house energy meter. Disaggregating this power consumption into the contributions of individual devices can be achieved using Machine Learning. Our work aims at making state of the art disaggregation algorithms accessibe for users of the open source home automation platform Home Assistant.
- Freie Schlagwörter (EN)
- Energy Disaggregation, Machine Learning, Open Source, Home Assistant, Home Automation Platform
- Herausgeber (Institution)
- Hochschule für Technik, Wirtschaft und Kultur Leipzig
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:l189-qucosa2-838379
- Veröffentlichungsdatum Qucosa
- 28.02.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
- CC BY-SA 4.0