0000000000331475

AUTHOR

Denise A. Baker

showing 2 related works from this author

Perceived-Value-driven Optimization of Energy Consumption in Smart Homes

2020

Residential energy consumption has been rising rapidly during the last few decades. Several research efforts have been made to reduce residential energy consumption, including demand response and smart residential environments. However, recent research has shown that these approaches may actually cause an increase in the overall consumption, due to the complex psychological processes that occur when human users interact with these energy management systems. In this article, using an interdisciplinary approach, we introduce a perceived-value driven framework for energy management in smart residential environments that considers how users perceive values of different appliances and how the us…

Consumption (economics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDependency (UML)Computer Networks and CommunicationsComputer scienceEnergy managementHeuristic020209 energy02 engineering and technologyEnergy consumptionIndustrial engineeringComputer Science ApplicationsDemand responseHardware and Architecture020204 information systemsValue (economics)Smart homes energy consumption perceived-value driven optimization0202 electrical engineering electronic engineering information engineeringInteger programmingSoftwareInformation Systems
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Social-Behavioral Aware Optimization of Energy Consumption in Smart Homes

2018

Residential energy consumption is skyrocketing, as residential customers in the U.S. alone used 1.4 trillion kilowatt-hours in 2014 and the consumption is expected to increase in the next years. Previous efforts to limit such consumption have included demand response and smart residential environments. However, recent research has shown that such approaches can actually increase the overall energy consumption due to the numerous complex human psychological processes that take place when interacting with electrical appliances. In this paper we propose a social-behavioral aware framework for energy management in smart residential environments. We envision a smart home where appliances are int…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniConsumption (economics)Smart HomeInformation Systems and ManagementOperations researchbusiness.industryComputer scienceHeuristic (computer science)Energy management020209 energySocial-Behavioral aware OptimizationEnergy Consumption02 engineering and technologyEnergy consumptionDemand responseComputer Networks and CommunicationHome automation0202 electrical engineering electronic engineering information engineeringSet (psychology)businessInteger programming2018 14th International Conference on Distributed Computing in Sensor Systems (DCOSS)
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