Integration of social behavioral modeling for energy optimization in smart environments

Simone Silvestri; D. A. Baker; Valeria Dolce

doi:10.1145/3055601.3055618

Integration of social behavioral modeling for energy optimization in smart environments

Simone Silvestri
, D. A. Baker
, Valeria Dolce

Producción científica: Conference contribution › revisión exhaustiva

8 Citas (Scopus)

Resumen

A key requirement for success of smart home energy management systems is understanding the user's psychological perception of a smart environments, and the design of control strategies that specifically take into account such dimensions in system operation. We discuss how our research develops psychological models and integrates them with optimization and machine learning techniques to realize social and behavioral aware energy optimization methodologies for smart homes.

Idioma original	English
Título de la publicación alojada	Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)
Páginas	97
Número de páginas	1
ISBN (versión digital)	9781450349772
DOI	https://doi.org/10.1145/3055601.3055618
Estado	Published - abr 18 2017
Evento	2nd International Workshop on Social Sensing, SocialSens 2017 - Pittsburgh, United States Duración: abr 21 2017 → …

Serie de la publicación

Nombre	Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)

Conference

Conference	2nd International Workshop on Social Sensing, SocialSens 2017
País/Territorio	United States
Ciudad	Pittsburgh
Período	4/21/17 → …

Nota bibliográfica

Publisher Copyright:
© 2017 ACM.

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1145/3055601.3055618

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Silvestri, S., Baker, D. A., & Dolce, V. (2017). Integration of social behavioral modeling for energy optimization in smart environments. En Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week) (pp. 97). (Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)). https://doi.org/10.1145/3055601.3055618

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title = "Integration of social behavioral modeling for energy optimization in smart environments",

abstract = "A key requirement for success of smart home energy management systems is understanding the user's psychological perception of a smart environments, and the design of control strategies that specifically take into account such dimensions in system operation. We discuss how our research develops psychological models and integrates them with optimization and machine learning techniques to realize social and behavioral aware energy optimization methodologies for smart homes.",

keywords = "Energy management, Smart living, Social-behavioral models",

author = "Simone Silvestri and Baker, \{D. A.\} and Valeria Dolce",

note = "Publisher Copyright: {\textcopyright} 2017 ACM. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 2nd International Workshop on Social Sensing, SocialSens 2017 ; Conference date: 21-04-2017",

year = "2017",

month = apr,

day = "18",

doi = "10.1145/3055601.3055618",

language = "English",

series = "Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)",

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Silvestri, S, Baker, DA & Dolce, V 2017, Integration of social behavioral modeling for energy optimization in smart environments. En Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week). Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week), pp. 97, 2nd International Workshop on Social Sensing, SocialSens 2017, Pittsburgh, United States, 4/21/17. https://doi.org/10.1145/3055601.3055618

Integration of social behavioral modeling for energy optimization in smart environments. / Silvestri, Simone; Baker, D. A.; Dolce, Valeria.
Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week). 2017. p. 97 (Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)).

Producción científica: Conference contribution › revisión exhaustiva

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T1 - Integration of social behavioral modeling for energy optimization in smart environments

AU - Silvestri, Simone

AU - Baker, D. A.

AU - Dolce, Valeria

PY - 2017/4/18

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N2 - A key requirement for success of smart home energy management systems is understanding the user's psychological perception of a smart environments, and the design of control strategies that specifically take into account such dimensions in system operation. We discuss how our research develops psychological models and integrates them with optimization and machine learning techniques to realize social and behavioral aware energy optimization methodologies for smart homes.

AB - A key requirement for success of smart home energy management systems is understanding the user's psychological perception of a smart environments, and the design of control strategies that specifically take into account such dimensions in system operation. We discuss how our research develops psychological models and integrates them with optimization and machine learning techniques to realize social and behavioral aware energy optimization methodologies for smart homes.

KW - Energy management

KW - Smart living

KW - Social-behavioral models

UR - https://www.scopus.com/pages/publications/85019025128

UR - https://www.scopus.com/pages/publications/85019025128#tab=citedBy

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DO - 10.1145/3055601.3055618

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T3 - Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)

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Y2 - 21 April 2017

ER -

Integration of social behavioral modeling for energy optimization in smart environments

Resumen

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ASJC Scopus subject areas

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