Tianyi Zhao 
- (2025): Research on an adaptive prediction method for restaurant air quality based on occupancy detection. In: Building and Environment, v. 267 (Januar 2025).
- (2025): Multi-point temperature or humidity prediction for office building indoor environment based on CGC-BiLSTM deep neural network. In: Building and Environment, v. 267 (Januar 2025).
- (2024): Model-based investigation on building thermal mass utilization and flexibility enhancement of air conditioning loads. In: Building Simulation, v. 17, n. 8 (13 Juli 2024).
- (2024): Multi-objective optimization of building integrated photovoltaic windows in office building. In: Energy and Buildings, v. 318 (September 2024).
- (2023): Transferability and robustness of a data-driven model built on a large number of buildings. In: Journal of Building Engineering, v. 80 (Dezember 2023).
- (2023): Strategies for sensor virtual in-situ calibration in building energy system: Sensor evaluation and data-driven based methods. In: Energy and Buildings, v. 294 (September 2023).
- (2023): Optimal control of critical fresh air volume based on sectional adjustment of fresh air and return air dampers. In: Building Services Engineering Research and Technology, v. 44, n. 3 (März 2023).
- (2023): An outlier management framework for building performance data and its application to the power consumption data of building energy systems in non-residential buildings. In: Journal of Building Engineering, v. 65 (April 2023).
- (2015): Operational Electricity Consumption Analyze of VRF Air Conditioning Sys-tem and Centralized Air Conditioning System Based on Building Energy Monitoring and Management System. In: Procedia Engineering, v. 121 ( 2015).
- (2022): Research on repair method of abnormal energy consumption data of lighting and plug based on similar features. In: Energy and Buildings, v. 268 (August 2022).
- (2022): A synchronous prediction method for hourly energy consumption of abnormal monitoring branch based on the data-driven. In: Energy and Buildings, v. 260 (April 2022).
- (2021): Quantitative correlation models between electricity consumption and behaviors about lighting, sockets and others for electricity consumption prediction in typical campus buildings. In: Energy and Buildings, v. 253 (Dezember 2021).
- (2021): Online model for indoor temperature control based on building thermal process of air conditioning system. In: Journal of Building Engineering, v. 39 (Juli 2021).
- (2020): An online predictive control method with the temperature based multivariable linear regression model for a typical chiller plant system. In: Building Simulation, v. 13, n. 2 (Februar 2020).
- (2021): Online differential pressure reset method with adaptive adjustment algorithm for variable chilled water flow control in central air-conditioning systems. In: Building Simulation, v. 14, n. 5 (April 2021).
- (2020): Online reset strategy based on linear correlation for variable static pressure control of VAV system. In: Science and Technology for the Built Environment, v. 26, n. 5 (April 2020).
- (2019): Study on the performance of sleeve regulating valve based on the valve admittance function. In: Science and Technology for the Built Environment, v. 25, n. 1 (2 Januar 2019).
- (2021): A monitoring data based bottom-up modeling method and its application for energy consumption prediction of campus building. In: Journal of Building Engineering, v. 35 (März 2021).
- (2017): Predication control for indoor temperature time-delay using Elman neural network in variable air volume system. In: Energy and Buildings, v. 154 (November 2017).
- (2021): Modeling for indoor temperature prediction based on time-delay and Elman neural network in air conditioning system. In: Journal of Building Engineering, v. 33 (Januar 2021).
- (2020): An optimal control method for discrete variable outdoor air volume setpoint determination in variable air volume systems. In: Building and Environment, v. 167 (Januar 2020).
- (2019): Rule-based fuzzy control method for static pressure reset using improved Mamdani model in VAV systems. In: Journal of Building Engineering, v. 22 (März 2019).
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