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Smart Hot Water Control with Learned Human Behaviour for Minimal Energy Consumption

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), 15-18 April 2019, Limerick, Ireland, Ireland. DOI: 10.1109/WF-IoT.2019.8767171 ISBN 978-1-5386-4980-0/19

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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:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sonnekalb, TimTim.Sonnekalb (at) dlr.dehttps://orcid.org/0000-0002-0067-1790
Lucia, Sergiosergio.lucia (at) tu-berlin.dehttps://orcid.org/0000-0002-3347-5593
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 Dates:15-18 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
Deposited By: Sonnekalb, Tim
Deposited On:28 Aug 2019 11:57
Last Modified:28 Aug 2019 11:57

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