Qianchuan Zhao 
- (2023): Building occupancy number prediction: A Transformer approach. In: Building and Environment, v. 244 (October 2023).
- (2023): Multi-Sensor-Based Occupancy Prediction in a Multi-Zone Office Building with Transformer. In: Buildings, v. 13, n. 8 (2 August 2023).
- (2023): MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings. In: Building and Environment, v. 239 (July 2023).
- (2022): A fusion framework for vision-based indoor occupancy estimation. In: Building and Environment, v. 225 (November 2022).
- (2022): MPSN: Motion-aware Pseudo-Siamese Network for indoor video head detection in buildings. In: Building and Environment, v. 222 (August 2022).
- (2022): Indoor occupancy measurement by the fusion of motion detection and static estimation. In: Energy and Buildings, v. 254 (January 2022).
- (2016): Satisfaction based Q-learning for integrated lighting and blind control. In: Energy and Buildings, v. 127 (September 2016).
- (2016): Experimental comparison between set-point based and satisfaction based indoor thermal environment control. In: Energy and Buildings, v. 128 (September 2016).
- (2017): Predictive control of indoor environment using occupant number detected by video data and CO 2 concentration. In: Energy and Buildings, v. 145 (June 2017).
- (2017): Occupancy detection in the office by analyzing surveillance videos and its application to building energy conservation. In: Energy and Buildings, v. 152 (October 2017).
- (2020): A review of building occupancy measurement systems. In: Energy and Buildings, v. 216 (June 2020).
- (2014): Preliminary study of learning individual thermal complaint behavior using one-class classifier for indoor environment control. In: Building and Environment, v. 72 (February 2014).
- (2014): Thermal sensation and comfort models for non-uniform and transient environments, part IV: Adaptive neutral setpoints and smoothed whole-body sensation model. In: Building and Environment, v. 72 (February 2014).
- (2014): A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: From model to application. In: Building and Environment, v. 72 (February 2014).
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