Project: Applications of Load Disaggregation in ...

Master data
Applications of Load Disaggregation in Smart Homes
Description:

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.
Keywords: Non-intrusive Load Monitoring, Ambient and assisted living, social acceptance
Short title: Load Disaggregation in Smart Homes
Period: 01.10.2019 - 30.09.2022
Contact e-mail: Hafsa.Bousbiat@aau.at
Homepage: -

Employees
Employees Role Time period
Hafsa Bousbiat
Hafsa.Bousbiat@aau.at
Research activities
To visiting card
(internal)
  • PhD student
  • Project leader
  • 01.10.2019 - 30.09.2022
  • 01.10.2019 - 30.09.2022
Wilfried Elmenreich
Wilfried.Elmenreich@aau.at
Institut für Vernetzte und Eingebettete Systeme
Research activities
To visiting card
(internal)
  • Project leader
  • 01.10.2019 - 30.09.2022
Nina Hampl
nina.hampl@aau.at
Research activities
To visiting card
(internal)
  • Project leader
  • 01.10.2019 - 30.09.2022
Gerhard Leitner
Gerhard.Leitner@aau.at
Institut für Informatik-Systeme
Research activities
To visiting card
(internal)
  • Project leader
  • 01.10.2019 - 30.09.2022

Assignment
Organisational unit
Universität Klagenfurt
  Digital Age Research Center (D!ARC)
  Doktoratskolleg Decide
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
To organisation
Fakultät für Technische Wissenschaften
  Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Fakultät für Wirtschafts- und Rechtswissenschaften
  Institut für Produktions-, Energie- und Umweltmanagement
  Abteilung für Nachhaltiges Energiemanagement
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
To organisation
Fakultät für Technische Wissenschaften
  Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
To organisation

Categorisation
Project type Current focus of work
Funding type Other
Research type
  • Fundamental research
  • Applied research
Subject areas
  • 102024 - Usability research
  • 202010 - Electric power engineering
  • 202012 - Electrical measurement technology
  • 202041 - Computer engineering
  • 202022 - Information technology
Research Cluster
  • Energy management and technology
  • Humans in the Digital Age
Gender aspects Genderrelevance not selected
Project focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups
  • DECIDE (Decision-making in a digital environment)

Funding
No available funding programs

Cooperations
No partner organisations selected