PREDICTION OF WORKSPACE THERMAL COMFORT IN UNIVERSITY BUILDINGS USING DEEP NEURAL NETWORK METHOD

Thermal comfort of buildings becomes very important in the implementation of energy conservation standards, as global warming can reduce the thermal comfort index. Thermal comfort is important in building design and management, especially in university environments as it has a significant effect on...

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Bibliographic Details
Main Author: Faniama Nurrahmayati, Virara
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/84384
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Institution: Institut Teknologi Bandung
Language: Indonesia