User Created Machine-readable Policies for Energy Efficiency in Smart Homes

Rene Mayrhofer; Vikash Kumar; Anna Fensel; Slobodanka Tomic; Tassilo Pellegrini

User Created Machine-readable Policies for Energy Efficiency in Smart Homes

Rene Mayrhofer, Vikash Kumar, Anna Fensel, Slobodanka Tomic, Tassilo Pellegrini

Research Center Hagenberg

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

Abstract

The project SESAME utilizes smart metering, building automation and policy-based reasoning to support home owners and building managers in saving energy and in optimizing their energy costs while maintaining their preferred quality of living. In this paper, we present how user-created policies are being applied to develop a system of least interference that supports the user in gaining awareness about energy consumption habits and saving potentials. Proposed concepts are currently being implemented and validated in an extensible demonstrator platform which provides a proof-of-concept for an innovative technical solution.

Originalsprache	Englisch
Titel	Proceedings UCSE 2010, co-located with Ubicomp 2010
Herausgeber (Verlag)	Online Proceedings
Publikationsstatus	Veröffentlicht - 2010
Veranstaltung	12th ACM International Conference on Ubiquitous Computing (Ubicomp 2010) - Copenhagen, Dänemark Dauer: 26 Sep. 2010 → 29 Sep. 2010 http://www.ubicomp2010.org/

Konferenz

Konferenz	12th ACM International Conference on Ubiquitous Computing (Ubicomp 2010)
Land/Gebiet	Dänemark
Ort	Copenhagen
Zeitraum	26.09.2010 → 29.09.2010
Internetadresse	http://www.ubicomp2010.org/

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Andere Dateien und Links

http://www.hcilab.org/events/ucse2010/images/b/bf/UCSEpaper05.pdf

Zitieren

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title = "User Created Machine-readable Policies for Energy Efficiency in Smart Homes",

abstract = "The project SESAME utilizes smart metering, building automation and policy-based reasoning to support home owners and building managers in saving energy and in optimizing their energy costs while maintaining their preferred quality of living. In this paper, we present how user-created policies are being applied to develop a system of least interference that supports the user in gaining awareness about energy consumption habits and saving potentials. Proposed concepts are currently being implemented and validated in an extensible demonstrator platform which provides a proof-of-concept for an innovative technical solution.",

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AU - Pellegrini, Tassilo

PY - 2010

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