• search hit 20 of 1620
Back to Result List

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.

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Raphael M. Grund, Lena Altherr
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
Date of the Publication (Server):2024/02/27
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 / Fachbereich Elektrotechnik und Informationstechnik
FH Aachen / ECSM European Center for Sustainable Mobility
collections:Verlag / le-tex publishing services GmbH
Licence (German):License LogoCreative Commons - Namensnennung-Weitergabe unter gleichen Bedingungen