short-paper

A semantic approach towards implementing energy efficient lifestyles through behavioural change

Authors:

Umutcan Şimşek,

Anna Fensel,

Anastasios Zafeiropoulos,

Eleni Fotopoulou,

Paris Liapis,

Thanassis Bouras,

Fernando Terroso Saenz,

Antonio F. Skarmeta GómezAuthors Info & Claims

SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems

Pages 173 - 176

https://doi.org/10.1145/2993318.2993346

Published: 12 September 2016 Publication History

Get Access

Abstract

Residential and office buildings have the largest share in energy consumption, followed by transport and industry. At the same time, many buildings do not leverage all feasible opportunities to increase their energy efficiency. Particularly, the solutions influencing the behaviour of the end-users are lacking. In this paper, we present a novel semantics-empowered approach for motivating end-users towards the adoption of energy efficient lifestyles, based on recommendations provided through personalised applications and serious games. As a foundation of our approach, we have designed two semantic models to represent energy consumption and behavioural characteristics of consumers. The Energy Efficiency Semantic Model represents energy consumption data collected from a heterogeneous sensor network, while the Behavioural Semantic Model focuses on energy consumption profile of end-users. These models are being validated in the reference architecture and use cases of EU H2020 project ENTROPY.

References

[1]

S. Androulaki, E. Spiliotis, H. Doukas, I. Papastamatiou, and J. Psarras. Proposing a Smart City Energy Assessment Framework linking local vision with data sets. In Proceedings of IISA 2014-5th International Conference on Information, Intelligence, Systems and Applications, pages 50--56, 2014.

Crossref

Google Scholar

[2]

J. J. V. Díaz, M. R. Wilby, A. B. R. González, and J. G. Munóz. Eeont: An ontological model for a unified representation of energy efficiency in buildings. Energy and Buildings, 60:20--27, 2013.

Crossref

Google Scholar

[3]

D. Djaouti, J. Alvarez, and J.-P. Jessel. Classifying Serious Games: The G/P/S Model. In Handbook of Research on Improving Learning and Motivation through Educational Games: Multidsciplinary Approaches, pages 118--136. IGI Global, 2011.

Crossref

Google Scholar

[4]

European Commission. Energy Efficiency Plan COM(2011) 109 final. Technical report, Brussels, 2011.

Google Scholar

[5]

Global e-Sustainability Initiative and The Boston Consulting Group. GeSI SMARTer 2020: The Role of ICT in Driving a Sustainable Future. Technical report, 2012.

Google Scholar

[6]

B. Lapillonne, C. Sebi, K. Pollier, and N. Mairet. Energy Efficiency Trends in Buildings in EU: Lessons from the ODYSEE-MURE Project. Technical report, 2012.

Google Scholar

[7]

L. Madrazo, A. Sicilia, and G. Gamboa. SEMANCO: Semantic Tools for Carbon Reduction in Urban Planning. In Proceedings of the 9th European Conference on Product and Process Modelling, Reykjavik, 2012.

Crossref

Google Scholar

[8]

A. Pegels, A. Figueroa, and B. Never. The Human Factor in Energy Efficiency. Technical report, German Development Institute, 2015.

Google Scholar

[9]

M. Poveda-Villalón, M. C. Súarez-Figueroa, R. García-Castro, and A. Gómez-Pérez. A context ontology for mobile environments. In Proceedings of Workshop on Context, Information and Ontologies - CIAO 2010 Co-located with EKAW 2010, volume 626, Germany, 2010. CEUR-WS.

Google Scholar

[10]

D. Riboni and C. Bettini. OWL 2 modeling and reasoning with complex human activities. Pervasive and Mobile Computing, 7(3):379--395, jun 2011.

Digital Library

Google Scholar

[11]

N. D. Rodríguez, M. P. Cuéllar, J. Lilius, and M. D. Calvo-Flores. A Survey on Ontologies for Human Behavior Recognition. ACM Comput. Surv., 46(4):43:1--43:33, mar 2014.

Digital Library

Google Scholar

[12]

Á. Sicilia, L. Madrazo, and G. Costa. Building a semantic-based decision support system to optimize the energy use in public buildings: the OPTIMUS project. Sustainable Places 2015, page 101, 2015.

Google Scholar

[13]

S. D. K. Tomic and A. Fensel. Openfridge: A platform for data economy for energy efficiency data. In 2013 IEEE International Conference on Big Data, pages 43--47. IEEE, 2013.

Crossref

Google Scholar

Cited By

View all

Mischos SDalagdi EVrakas D(2023)Intelligent energy management systems: a reviewArtificial Intelligence Review10.1007/s10462-023-10441-356:10(11635-11674)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s10462-023-10441-3
Fotopoulou EZafeiropoulos AGouvas P(2023)Smart Homes and BuildingsSpringer Handbook of Internet of Things10.1007/978-3-031-39650-2_28(675-689)Online publication date: 28-Nov-2023
https://doi.org/10.1007/978-3-031-39650-2_28
Rasmusen SPenz MWidauer SNako PKurteva ARoa-Valverde AFensel A(2022)Raising Consent Awareness With Gamification and Knowledge GraphsInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.30082018:1(1-21)Online publication date: 3-Jun-2022
https://dl.acm.org/doi/10.4018/IJSWIS.300820
Show More Cited By

Recommendations

Performance evaluation of energy efficient ethernet

Until very recently, energy efficiency has received little attention in many wired communications environments. For example, in most current Ethernet standards the transmitter and receiver operate at full power even when no data is being sent. However, ...
Towards an energy efficient 10 Gb/s optical ethernet: Performance analysis and viability

The new IEEE 802.3az Energy Efficient Ethernet (EEE) standard will improve significantly the energy efficiency of 10 Gbps copper transceivers by the introduction of a sleep mode for idle transmission times. The next step towards energy saving seems to ...
Towards energy efficient VoIP over wireless LANs
MobiHoc '08: Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing

Wireless LAN (WLAN) radios conserve energy by staying in sleep mode. With real-time applications like VoIP, it is not clear how much energy can be saved by this approach since packets delayed above a threshold are lost. In this work we propose the ...

Comments

Information & Contributors

Information

Published In

SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems

September 2016

207 pages

ISBN:9781450347525

DOI:10.1145/2993318

Editors:
Anna Fensel
STI Innsbruck, University of Innsbruck, Austria
,
Amrapali Zaveri
Stanford University, USA
,
Sebastian Hellmann
AKSW/KILT, Institute for Applied Informatics (InfAI), Leipzig, Germany
,
Tassilo Pellegrini
University of Applied Sciences St. Poelten, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Ghent University: Ghent University
AIT: Austrian Institute of Technology
Stanford University: Stanford University
Wolters Kluwer: Wolters Kluwer, Germany
Semantic Web Company: Semantic Web Company

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Conference

SEMANTiCS 2016

SEMANTiCS 2016: 12th International Conference on Semantic Systems

September 12 - 15, 2016

Leipzig, Germany

Acceptance Rates

SEMANTiCS 2016 Paper Acceptance Rate 18 of 85 submissions, 21%;

Overall Acceptance Rate 40 of 182 submissions, 22%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
139
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 27 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Mischos SDalagdi EVrakas D(2023)Intelligent energy management systems: a reviewArtificial Intelligence Review10.1007/s10462-023-10441-356:10(11635-11674)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s10462-023-10441-3
Fotopoulou EZafeiropoulos AGouvas P(2023)Smart Homes and BuildingsSpringer Handbook of Internet of Things10.1007/978-3-031-39650-2_28(675-689)Online publication date: 28-Nov-2023
https://doi.org/10.1007/978-3-031-39650-2_28
Rasmusen SPenz MWidauer SNako PKurteva ARoa-Valverde AFensel A(2022)Raising Consent Awareness With Gamification and Knowledge GraphsInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.30082018:1(1-21)Online publication date: 3-Jun-2022
https://dl.acm.org/doi/10.4018/IJSWIS.300820
Himeur YAlsalemi AAl-Kababji ABensaali FAmira ASardianos CDimitrakopoulos GVarlamis I(2021)A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospectsInformation Fusion10.1016/j.inffus.2021.02.002Online publication date: Feb-2021
https://doi.org/10.1016/j.inffus.2021.02.002
Kurteva A(2021)Implementing Informed Consent with Knowledge GraphsThe Semantic Web: ESWC 2021 Satellite Events10.1007/978-3-030-80418-3_28(155-164)Online publication date: 21-Jul-2021
https://doi.org/10.1007/978-3-030-80418-3_28
Fotopoulou EZafeiropoulos ATerroso-Sáenz FŞimşek UGonzález-Vidal ATsiolis GGouvas PLiapis PFensel ASkarmeta A(2017)Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart BuildingsSensors10.3390/s1709205417:9(2054)Online publication date: 7-Sep-2017
https://doi.org/10.3390/s17092054

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Recommendations

Performance evaluation of energy efficient ethernet

Towards an energy efficient 10 Gb/s optical ethernet: Performance analysis and viability

Towards energy efficient VoIP over wireless LANs

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations