Ph.D. Forum: Intelligent Home Energy Management: Developing AI-Driven Systems for Sustainable Living

The MAI-HOME project, funded by the Interreg initiative, addresses energy poverty and CO2 emission reduction through an AI-driven framework tailored for vulnerable populations. This research spans three years of data collection from multiple sensors installed in every room of sixteen houses across the Netherlands and Belgium. It aims to predict and promote energy-saving behaviors effectively. Utilizing an innovative blend of digital twins and robust data privacy measures, this project explores four critical areas: real-time data collection, predictive AI model development, data privacy enhancement, and behavioral intervention strategies. Initial findings suggest promising avenues for technological advancements and societal benefits in sustainable energy practices.

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Published
2024-11-04
DOI
https://doi.org/10.1145/3666025.3699665
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Ph.D. Forum: Intelligent Home Energy Management: Developing AI-Driven Systems for Sustainable Living

Yu Sheng
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IoT-based Smart Home Systems
article

Ph.D. Forum: Intelligent Home Energy Management: Developing AI-Driven Systems for Sustainable Living

Yu Sheng
article en

Abstract

The MAI-HOME project, funded by the Interreg initiative, addresses energy poverty and CO2 emission reduction through an AI-driven framework tailored for vulnerable populations. This research spans three years of data collection from multiple sensors installed in every room of sixteen houses across the Netherlands and Belgium. It aims to predict and promote energy-saving behaviors effectively. Utilizing an innovative blend of digital twins and robust data privacy measures, this project explores four critical areas: real-time data collection, predictive AI model development, data privacy enhancement, and behavioral intervention strategies. Initial findings suggest promising avenues for technological advancements and societal benefits in sustainable energy practices.

Open University of the Netherlands (NL)
Responsible consumption and production
Openalex Percentile: Top 83%
IoT-based Smart Home Systems
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