A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling

A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling

Abstract The growing need for energy efficiency in buildings has driven significant improvements in digitalisation and intelligent energy management. Traditional energy management techniques often fail to address dynamic energy demands and user preferences, leading to inefficiencies and increased co...

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Bibliographic Details
Main Authors: Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Digital twin
Artificial intelligence (AI)
IoT sensor data
Energy efficiency
Machine learning
Real-time monitoring
Online Access:https://doi.org/10.1038/s41598-025-09760-y
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https://doi.org/10.1038/s41598-025-09760-y

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