| Development and implementation of automated fault detection and diagnostics for building systems: A review Z Shi, W O'Brien Automation in Construction 104, 215-229, 2019 | 133 | 2019 |
| Data visualization and analysis of energy flow on a multi-zone building scale A Abdelalim, W O'Brien, Z Shi Automation in Construction 84, 258-273, 2017 | 61 | 2017 |
| Visualization of energy and water consumption and GHG emissions: A case study of a Canadian University Campus A Abdelalim, W O’Brien, Z Shi Energy and Buildings 109, 334-352, 2015 | 48 | 2015 |
| Cluster analysis-based anomaly detection in building automation systems HB Gunay, Z Shi Energy and Buildings 228, 110445, 2020 | 47 | 2020 |
| Machine learning-based prognostics for central heating and cooling plant equipment health monitoring C Yang, B Gunay, Z Shi, W Shen IEEE Transactions on Automation Science and Engineering 18 (1), 346-355, 2020 | 37 | 2020 |
| Detection of zone sensor and actuator faults through inverse greybox modelling HB Gunay, Z Shi, G Newsham, R Moromisato Building and Environment 171, 106659, 2020 | 31 | 2020 |
| Disaggregation of commercial building end-uses with automation system data HB Gunay, Z Shi, I Wilton, J Bursill Energy and Buildings 223, 110222, 2020 | 28 | 2020 |
| Sequential state prediction and parameter estimation with constrained dual extended Kalman filter for building zone thermal responses Z Shi, W O'Brien Energy and Buildings 183, 538-546, 2019 | 28 | 2019 |
| Development of Sankey diagrams to visualize real HVAC performance A Abdelalim, W O’Brien, Z Shi Energy and Buildings 149, 282-297, 2017 | 26 | 2017 |
| Day-ahead prediction of building occupancy using WiFi signals A Ashouri, GR Newsham, Z Shi, HB Gunay 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 22 | 2019 |
| A Metadata inference method for building automation systems with limited semantic information L Chen, HB Gunay, Z Shi, W Shen, X Li IEEE Transactions on Automation Science and Engineering 17 (4), 2107-2119, 2020 | 19 | 2020 |
| Building energy model reduction using model-cluster-reduce pipeline Z Shi, W O’Brien Journal of Building Performance Simulation 11 (5), 553-567, 2018 | 19 | 2018 |
| Digital campus innovation project: Integration of building information modelling with building performance simulation and building diagnostics Z Shi, A Abdelalim, W O'Brien, R Attar, P Akiki, K Graham, B Van Waarden, ... Proceedings of the Symposium on Simulation for Architecture & Urban Design …, 2015 | 18 | 2015 |
| Development of a distributed building fault detection, diagnostic, and evaluation system Z Shi, W O’Brien, HB Gunay ASHRAE Transactions 124 (2), 23-37, 2018 | 17 | 2018 |
| Building zone fault detection with Kalmnan filter based methods Z Shi, W O’Brien, B Gunay eSim 2016, 2016 | 17 | 2016 |
| Evaluation of clustering and time series features for point type inference in smart building retrofit Z Shi, GR Newsham, L Chen, HB Gunay Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 15 | 2019 |
| A preliminary study on text mining operator logbooks to develop a fault-frequency model Z Shi, PE Weiming Shen PhD, B Huchuk ASHRAE Transactions 124, 171-184, 2018 | 12 | 2018 |
| Development and implementation of control-oriented models for terminal heating and cooling units HB Gunay, W O'Brien, I Beausoleil-Morrison, P Bisaillon, Z Shi Energy and Buildings 121, 78-91, 2016 | 12 | 2016 |
| Toward Machine Learning-based Prognostics for Heating Ventilation and Air-Conditioning Systems. C Yang, W Shen, B Gunay, Z Shi ASHRAE Transactions 125, 2019 | 11 | 2019 |
| Development of a clustering-based morning start time estimation algorithm for space heating and cooling B Gunay, Z Shi, A Ashouri, G Newsham Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 5 | 2019 |
William O'BrienProfessor, Carleton University在 carleton.ca 的电子邮件经过验证
