Fig. 7 | Scientific Reports

Fig. 7

From: Digital twin based deep learning framework for personalized thermal comfort prediction and energy efficient operation in smart buildings

Fig. 7

Digital Twin-assisted evaluation of comfort and energy outcomes: a (a) identification of optimal thermal zones maximizing comfort probability, (b) assessment of energy-saving potential via occupant-specific control strategies, and (c) divergence between PMV-based estimates and real occupant comfort, emphasizing the value of data-driven modelling.

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