Zeynep Duygu Tekler 
- (2024): Data-efficient comfort modeling: Active transfer learning for predicting personal thermal comfort using limited data. In: Energy and Buildings, v. 319 (September 2024).
- (2024): Evaluating the sensitivity and robustness of occupancy models for building energy simulation during design. In: Building and Environment, v. 261 (August 2024).
- (2024): Evaluating different levels of information on the calibration of building energy simulation models. In: Building Simulation, v. 17, n. 4 (Januar 2024).
- (2024): Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context. In: Building and Environment, v. 248 (Januar 2024).
- (2023): A hybrid active learning framework for personal thermal comfort models. In: Building and Environment, v. 234 (April 2023).
- (2022): Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy. In: Building and Environment, v. 226 (Dezember 2022).
- (2022): Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review. In: Energy and Buildings, v. 276 (Dezember 2022).
- (2022): ROBOD, room-level occupancy and building operation dataset. In: Building Simulation, v. 15, n. 12 (August 2022).
- (2022): Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings. In: Building and Environment, v. 223 (September 2022).
- (2020): A scalable Bluetooth Low Energy approach to identify occupancy patterns and profiles in office spaces. In: Building and Environment, v. 171 (März 2020).
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