Sonnekalb, Tim and Lucia, Sergio (2019) Smart Hot Water Control with Learned Human Behaviour for Minimal Energy Consumption. In: IEEE 5th World Forum of Internet of Things (WF-IoT). IEEE. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 2019-04-15 - 2019-04-18, Limerick, Ireland, Ireland. doi: 10.1109/WF-IoT.2019.8767171. ISBN 978-1-5386-4980-0/19.
PDF
- Only accessible within DLR
454kB |
Abstract
This work presents an approach to automatically adapt domestic hot water heaters to to individual human behavior based on real IoT data. For this purpose, a large collection of data from domestic hot water heaters is analyzed to learn the consumption behaviors of each user. The human behavior is learned using two different approaches that we compare: neural networks and Gaussian processes with periodic kernels.The learned human behavior is used to create an optimal hot water schedule that adapts to each user and thus saves between 20 and 34% of the energy used with a default schedule. We also propose an eco-parameter so that each user can determine a trade-off between maximum comfort (always having hot water available) and maximum energy savings.
Item URL in elib: | https://elib.dlr.de/126445/ | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
Title: | Smart Hot Water Control with Learned Human Behaviour for Minimal Energy Consumption | ||||||||||||
Authors: |
| ||||||||||||
Date: | 22 July 2019 | ||||||||||||
Journal or Publication Title: | IEEE 5th World Forum of Internet of Things (WF-IoT) | ||||||||||||
Refereed publication: | Yes | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | No | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
DOI: | 10.1109/WF-IoT.2019.8767171 | ||||||||||||
Publisher: | IEEE | ||||||||||||
ISBN: | 978-1-5386-4980-0/19 | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | hot water control, machine learning, neural networks, gaussian processes | ||||||||||||
Event Title: | 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) | ||||||||||||
Event Location: | Limerick, Ireland, Ireland | ||||||||||||
Event Type: | international Conference | ||||||||||||
Event Start Date: | 15 April 2019 | ||||||||||||
Event End Date: | 18 April 2019 | ||||||||||||
Organizer: | IEEE | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Space | ||||||||||||
HGF - Program Themes: | other | ||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||
DLR - Program: | R - no assignment | ||||||||||||
DLR - Research theme (Project): | R - no assignment | ||||||||||||
Location: | Jena | ||||||||||||
Institutes and Institutions: | Institute of Data Science Institute of Data Science > IT-Security Institute of Data Science > Secure Digital Systems | ||||||||||||
Deposited By: | Sonnekalb, Tim | ||||||||||||
Deposited On: | 28 Aug 2019 11:57 | ||||||||||||
Last Modified: | 24 Apr 2024 20:30 |
Repository Staff Only: item control page