Applications of Load Disaggregation in Smart Homes

The increasing energy demand and climate change require us to switch to a smarter energy grid. To achieve this, we need the respective tools and energy services. In the residential sector, energy consumption feedback based on load disaggregation is a promising technology. Load disaggregation, also known as Non-intrusive Load Monitoring (NILM), is a cutting-edge technique to identify appliances consumption using only total power consumption of the household. This way, we avoid installing smart meters for every single device while still getting consumption information at the device level. Our goal is to develop and implement this technology and to assess the effect of this approach on human decision making through two services: an energy management system and daily activities monitoring for the elderly. To achieve this, a major focus of our work is on improving deep learning approaches for load disaggregation and identifying variables influencing the acceptance and engagement of customers with energy services.

Schlagworte: Non-intrusive Load Monitoring, Ambient and assisted living, social acceptance
Kurztitel: Load Disaggregation in Smart Homes
Zeitraum: 01.10.2019 - 30.09.2022
Homepage: -


MitarbeiterInnen Funktion Zeitraum
Hafsa Bousbiat (intern)
  • Dissertant/in
  • Projektleiter/in
  • 01.10.2019 - 30.09.2022
  • 01.10.2019 - 30.09.2022
Wilfried Elmenreich (intern)
  • Projektleiter/in
  • 01.10.2019 - 30.09.2022
Nina Hampl (intern)
  • Projektleiter/in
  • 01.10.2019 - 30.09.2022
Gerhard Leitner (intern)
  • Projektleiter/in
  • 01.10.2019 - 30.09.2022


Projekttyp laufender Arbeitsschwerpunkt
Förderungstyp Sonstiger
  • Grundlagenforschung
  • Angewandte Forschung
  • 102024 - Usability Research
  • 202010 - Elektrische Energietechnik
  • 202012 - Elektrische Messtechnik
  • 202022 - Informationstechnik
  • 202041 - Technische Informatik
  • Energiemanagement und -technik
  • Humans in the Digital Age
Genderrelevanz Genderrelevanz nicht ausgewählt
  • Science to Science (Qualitätsindikator: n.a.)
  • DECIDE (Decision-making in a digital environment)


Keine Förderprogramme vorhanden


Keine Kooperationspartner ausgewählt