TY  - CHAP
A1  - Grund, Raphael M.
A1  - Altherr, Lena
ED  - Reiff-Stephan, Jörg
ED  - Jäkel, Jens
ED  - Schwarz, André
T1  - Development of an open source energy disaggregation tool for the home automation platform Home Assistant
T2  - Tagungsband AALE 2023 : mit Automatisierung gegen den Klimawandel
N2  - 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.
KW  - Home Automation Platform
KW  - Home Assistant
KW  - Open Source
KW  - Machine Learning
KW  - Energy Disaggregation
Y1  - 2023
SN  - 978-3-910103-01-6
U6  - http://dx.doi.org/10.33968/2023.02
N1  - 19. AALE-Konferenz. Luxemburg, 08.03.-10.03.2023.
BTS Connected Buildings & Cities Luxemburg
(Tagungsband unter https://doi.org/10.33968/2023.01)
SP  - 11
EP  - 20
PB  - le-tex publishing services GmbH
CY  - Leipzig
ER  - 
TY  - CHAP
A1  - Tischbein, Franziska
A1  - Kean, Kilian
A1  - Vertgewall, Chris Martin
A1  - Ulbig, Andreas
A1  - Altherr, Lena
T1  - Determination of the topology of low-voltage distribution grids using cluster methods
T2  - 27th International Conference on Electricity Distribution (CIRED 2023)
N2  - Due to the decarbonization of the energy sector, the electric distribution grids are undergoing a major transformation, which is expected to increase the load on the operating resources due to new electrical loads and distributed energy resources. Therefore, grid operators need to gradually move to active grid management in order to ensure safe and reliable grid operation. However, this requires knowledge of key grid variables, such as node voltages, which is why the mass integration of measurement technology (smart meters) is necessary. Another problem is the fact that a large part of the topology of the distribution grids is not sufficiently digitized and models are partly faulty, which means that active grid operation management today has to be carried out largely blindly. It is therefore part of current research to develop methods for determining unknown grid topologies based on measurement data. In this paper, different clustering algorithms are presented and their performance of topology detection of low voltage grids is compared. Furthermore, the influence of measurement uncertainties is investigated in the form of a sensitivity analysis.
Y1  - 2023
SN  - 978-1-83953-855-1
U6  - http://dx.doi.org/10.1049/icp.2023.0478
N1  - 27th International Conference on Electricity Distribution (CIRED 2023), 12-15 June 2023, Rome, Italy.
SP  - 1
EP  - 5
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Conzen, Max
A1  - Elsen, Ingo
A1  - Frauenrath, Tobias
A1  - Lyrmann, Andreas
ED  - Reiff-Stephan, Jörg
ED  - Jäkel, Jens
ED  - Schwarz, André
T1  - Sensor retrofitting of existing buildings in an interdisciplinary teaching project at university level
T2  - Tagungsband AALE 2023 : mit Automatisierung gegen den Klimawandel
N2  - Existing residential buildings have an average lifetime of 100 years. Many of these buildings will exist for at least another 50 years. To increase the efficiency of these buildings while keeping costs at reasonable rates, they can be retrofitted with sensors that deliver information to central control units for heating, ventilation and electricity. This retrofitting process should happen with minimal intervention into existing infrastructure and requires new approaches for sensor design and data transmission. At FH Aachen University of Applied Sciences, students of different disciplines work together to learn how to design, build, deploy and operate such sensors. The presented teaching project already created a low power design for a combined CO2, temperature and humidity measurement device that can be easily integrated into most home automation systems
KW  - Building Automation
KW  - Smart Building
KW  - CO2
KW  - Carbon Dioxide
KW  - Education
Y1  - 2023
SN  - 978-3-910103-01-6
U6  - http://dx.doi.org/10.33968/2023.04
N1  - 19. AALE-Konferenz. Luxemburg, 08.03.-10.03.2023.
BTS Connected Buildings & Cities Luxemburg
(Tagungsband unter https://doi.org/10.33968/2023.01)
SP  - 31
EP  - 40
PB  - le-tex publishing services GmbH
CY  - Leipzig
ER  -