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This is a Literature Review study (also classified as: Observational, Case Report).

A Hybrid Digital Twin and Evolutionary Model for Green Building Automation

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Observational analysis shows 15-25% energy reduction in green buildings using digital twin and evolutionary algorithms, indicating enhanced comfort.

Energy usage decreases by 15-25% in green buildings, promoting efficiency and comfort.
The performance simulation uses a digital twin, optimizing HVAC and lighting strategies under changing conditions.
Integration of evolutionary algorithms provides adaptable control for building automation, improving responsiveness.
Results indicate potential for energy-resilient operations, highlighting the benefits of modernization in building systems.

Marangunic et al. (2025) studied this question.

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View Full Paper

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Authors

Observational analysis shows 15-25% energy reduction in green buildings using digital twin and evolutionary algorithms, indicating enhanced comfort.

Energy usage decreases by 15-25% in green buildings, promoting efficiency and comfort.
The performance simulation uses a digital twin, optimizing HVAC and lighting strategies under changing conditions.
Integration of evolutionary algorithms provides adaptable control for building automation, improving responsiveness.
Results indicate potential for energy-resilient operations, highlighting the benefits of modernization in building systems.

Marangunic et al. (2025) studied this question.

View Full Paper

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