Jingsi Zhang
- (2024): Correlating working performance with thermal comfort, emotion, and fatigue evaluations through on-site study in office buildings. In: Building and Environment, v. 265 (November 2024).
- (2023): Occupant behavior modules development for coupled simulation in DeST 3.0. In: Energy and Buildings, v. 297 (October 2023).
- (2023): A novel self-centering friction damper with elastic post-buckling plates to retrofit bridge bents. In: Soil Dynamics and Earthquake Engineering, v. 173 (October 2023).
- (2022): Development of data-driven thermal sensation prediction model using quality-controlled databases. In: Building Simulation, v. 15, n. 12 (August 2022).
- (2022): Effect of Iron Ion on the Evaluation of Buried-Steel Pipeline Corrosion. In: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 4 (April 2022).
- (2022): Radiant asymmetric thermal comfort evaluation for floor cooling system – A field study in office building. In: Energy and Buildings, v. 260 (April 2022).
- (2021): Room zonal location and activity intensity recognition model for residential occupant using passive-infrared sensors and machine learning. In: Building Simulation, v. 15, n. 6 (December 2021).
- (2021): Energy and comfort performance of occupant-centric air conditioning strategy in office buildings with personal comfort devices. In: Building Simulation, v. 15, n. 5 (October 2021).
- (2021): A novel lever-based-inerter-enhanced self-centering damping system to retrofit double-column bridge bent. In: Soil Dynamics and Earthquake Engineering, v. 151 (December 2021).
- (2014): Can personal control influence human thermal comfort? A field study in residential buildings in China in winter. In: Energy and Buildings, v. 72 (April 2014).
- (2020): Review on occupant-centric thermal comfort sensing, predicting, and controlling. In: Energy and Buildings, v. 226 (November 2020).
- (2020): Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II. In: Energy and Buildings, v. 210 (March 2020).
- (2020): Data-driven thermal comfort model via support vector machine algorithms: Insights from ASHRAE RP-884 database. In: Energy and Buildings, v. 211 (March 2020).
Structurae cooperates with
