Enhancing Sustainability in Smart Home Management with Automation Simulations and Green Suggestions
Year: 2025
Type: conference-paper
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.
Institution: University of Brescia
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Funder: European Commission
Award: G972786147
OpenAlex ID: W4408550905
