Enhancing Sustainability in Smart Home Management with Automation Simulations and Green Suggestions

This paper presents a digital twin for green smart homes that can simulate the impact of user-created automations on energy consumption.Data collected about the states of appliances and estimated power requirements of automations are exploited by the digital twin to estimate the overall energy consumption of the smart home.Consequently, the digital twin can alert users about potential energy overloads and provide suggestions for sustainable actions.

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Publication Details

Published
2025-03-18
DOI
https://doi.org/10.1145/3708557.3716345
Citations
2
Primary Topic
Spreadsheets and End-User Computing
Type
article
Field-Weighted Citation Impact
4.62

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article

Enhancing Sustainability in Smart Home Management with Automation Simulations and Green Suggestions

Barbara Rita Barricelli, Daniela Fogli, Davide Guizzardi
2 citations
Spreadsheets and End-User Computing
4.62
article

Enhancing Sustainability in Smart Home Management with Automation Simulations and Green Suggestions

Barbara Rita Barricelli, Daniela Fogli, Davide Guizzardi
article en
2 citations

Abstract

This paper presents a digital twin for green smart homes that can simulate the impact of user-created automations on energy consumption.Data collected about the states of appliances and estimated power requirements of automations are exploited by the digital twin to estimate the overall energy consumption of the smart home.Consequently, the digital twin can alert users about potential energy overloads and provide suggestions for sustainable actions.

University of Brescia (IT)
European Commission
Responsible consumption and production
Openalex Percentile: Top 8%
Spreadsheets and End-User Computing
4.62
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