Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments

Simone Silvestri; Denise A. Baker; Valeria Dolce

doi:10.1145/3055601.3055618

Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments

Simone Silvestri
, Denise A. Baker
, Valeria Dolce

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Proceedings of 2nd International Workshop on Social Sensing (2017, Pittsburgh, PA)
DOIs	https://doi.org/10.1145/3055601.3055618
State	Published - Apr 1 2017

Disciplines

Psychology

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10.1145/3055601.3055618License: CC BY

http://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.",

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

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AU - Baker, Denise A.

AU - Dolce, Valeria

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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.

UR - https://scholarsmine.mst.edu/psysci_facwork/115

UR - http://doi.org/10.1145/3055601.3055618

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DO - 10.1145/3055601.3055618

M3 - Article

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JF - Proceedings of 2nd International Workshop on Social Sensing (2017, Pittsburgh, PA)

ER -

Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments

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