Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …

Digital Twins (DT) implementation in the Built Environment (BE) industry is still in its early
stages. Aiming to increase the knowledge about DT, this study analyzes how DT can be …

Recent studies show that artificial intelligence (AI), such as machine learning and deep
learning, models can be adopted and have advantages in fault detection and diagnosis for …

The paper sheds light on the process of creating and validating the digital twin of bridges,
emphasizing the crucial role of load testing, BIM models, and FEM models. At first, the paper …

The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …

This proof-of-concept paper proposes a method that integrates occupants' feedback and
personal data to enhance the performance of fault detection and diagnostic (FDD) …

Purpose The Internet of Things-based digital twin (IoT-DT) technologies offer a
transformative approach to building retrofitting for reducing operational carbon (ROC) …

As a facilitator of smart upgrading, digital twin (DT) is emerging as a driving force in
prognostics and health management (PHM). Faults can lead to degradation or malfunction …

As the application fields for digital twins have expanded, various studies have been
conducted with the objective of optimizing the costs. Among these studies, research on low …

The digital twin (DT) paradigm represents a groundbreaking shift in the Internet of Vehicles
(IoV) landscape, acting as an instantaneous digital replica of physical entities. This synthesis …