Development of an open source energy disaggregation tool for the home automation platform Home Assistant
- 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.
Author: | Raphael M. Grund, Lena Altherr |
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DOI: | https://doi.org/10.33968/2023.02 |
ISBN: | 978-3-910103-01-6 |
Parent Title (German): | Tagungsband AALE 2023 : mit Automatisierung gegen den Klimawandel |
Publisher: | le-tex publishing services GmbH |
Place of publication: | Leipzig |
Editor: | Jörg Reiff-Stephan, Jens Jäkel, André Schwarz |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2023 |
Tag: | Energy Disaggregation; Home Assistant; Home Automation Platform; Machine Learning; Open Source |
Length: | 10 Seiten |
First Page: | 11 |
Last Page: | 20 |
Note: | 19. AALE-Konferenz. Luxemburg, 08.03.-10.03.2023. BTS Connected Buildings & Cities Luxemburg (Tagungsband unter https://doi.org/10.33968/2023.01) |
Link: | https://doi.org/10.33968/2023.02 |
Zugriffsart: | weltweit |
Institutes: | FH Aachen / ECSM European Center for Sustainable Mobility |
FH Aachen / Fachbereich Elektrotechnik und Informationstechnik | |
open_access (DINI-Set): | open_access |
collections: | Verlag / le-tex publishing services GmbH |
Licence (German): | ![]() |