MS-6 Data Analytics, Model Reduction and Calibration

Comparison of data-driven building energy use models for retrofit impact evaluation

Yujie Xu, Carnegie Mellon University
Azizan Aziz, Carnegie Mellon University
Bertrand Lasternas, Carnegie Mellon University
Vivian Loftness, Carnegie Mellon University

Syracuse, NY

1:30 PM - 3:00 PM

Visit Site

Modeling and model calibration for model predictive occupants comfort control in buildings

Shiyu Yang, Nanyang Technological University
Man Pun Wan, Nanyang Technological University
Bing Feng Ng, Nanyang Technological University
Zhe Zhang, Nanyang Technological University
Adrian S. Lamano, Nanyang Technological University
Wanyu Chen, Nanyang Technological University

Syracuse, NY

1:30 PM - 3:00 PM

Visit Site

Neural networks to predict the hygrothermal response of building components in a probabilistic framework

Astrid Tijskens, KU Leuven
Staf Roels, KU Leuven
Hans Janssen, KU Leuven

Syracuse, NY

1:30 PM - 3:00 PM

Visit Site

Optimization of Night Cooling of Commercial Premises Using Genetic Algorithms and Neural Networks

Emmy Dahlström, NCC Construction
Linus Rönn, Integra Engineering
Angela Sasic Kalagasidis, Chalmers University of Technology

Syracuse, NY

1:30 PM - 3:00 PM

Visit Site

Use of calibrated building simulation to investigate comfort conditions in a healthcare facility

Luca Zaniboni, Free University of Bozen-Bolzano
Giovanni Pernigotto, Free University of Bozen-Bolzano
Matthias Schuß, TU Wien
Kristina Kiesel, TU Wien
Andrea Gasparella, Free University of Bozen-Bolzano
Ardeshir Mahdavi, TU Wien

Syracuse, NY

1:30 PM - 3:00 PM

Visit Site