| Infrared thermography of human face for monitoring thermoregulation performance and estimating personal thermal comfort A Ghahramani, G Castro, B Becerik-Gerber, X Yu Building and Environment 109, 1-11, 2016 | 254 | 2016 |
| Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network Z Zou, X Yu, S Ergan Building and Environment 168, 106535, 2020 | 123 | 2020 |
| Towards quantifying human experience in the built environment: A crowdsourcing based experiment to identify influential architectural design features S Ergan, Z Shi, X Yu Journal of Building Engineering 20, 51-59, 2018 | 72 | 2018 |
| A data-driven approach to extract operational signatures of HVAC systems and analyze impact on electricity consumption X Yu, S Ergan, G Dedemen Applied energy 253, 113497, 2019 | 54 | 2019 |
| Integrating biometric sensors, VR, and machine learning to classify EEG signals in alternative architecture designs Z Zou, X Yu, S Ergan ASCE International Conference on Computing in Civil Engineering 2019, 169-176, 2019 | 18 | 2019 |
| Estimating power demand shaving capacity of buildings on an urban scale using extracted demand response profiles through machine learning models X Yu, S Ergan Applied Energy 310, 118579, 2022 | 11 | 2022 |
| Key variables in determining energy shaving capacity of buildings during demand response events X Yu, S Ergan Journal of Construction Engineering and Management 147 (1), 04020146, 2021 | 6 | 2021 |
| BIM coverage in demand response management: A pilot study in campus buildings X Yu, S Ergan Construction Research Congress 2018, 316-325, 2018 | 6 | 2018 |
| A data-driven framework to estimate saving potential of buildings in demand response events X Yu, S Ergan ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2018 | 4 | 2018 |
| Identification of principal factors in determining building peak energy shaving capacities during demand response events X Yu, S Ergan ASCE International Conference on Computing in Civil Engineering 2019, 547-554, 2019 | 3 | 2019 |
| TEA-bot: a thermography enabled autonomous robot for detecting thermal leaks of HVAC systems in ceilings W Cai, L Zhang, L Huang, X Yu, Z Zou Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022 | 2 | 2022 |
| Extracting principal building variables from automatically collected urban scale façade images for energy conservation through deep transfer learning X Yu, Z Zou, S Ergan Applied Energy 344, 121228, 2023 | | 2023 |
| Building Grid Interactions: Improving Demand-Response Performance of Buildings Through Accurate Power Demand Shaving Capacity Estimations X Yu New York University Tandon School of Engineering, 2021 | | 2021 |
| Extracting Building Characteristics Essential for Building Energy Consumption Predictions: Learning from Façade Images through Deep Learning X Yu, S Ergan Computing in Civil Engineering 2021, 131-139, 2021 | | 2021 |
Semiha ErganProfessor of Civil and Urban Engineering, NYUVerified email at nyu.edu
