Weiming Shen
- Detection and interpretation of anomalies in building energy use through inverse modeling. Dans: Science and Technology for the Built Environment, v. 25, n. 4 (9 avril 2019). (2019):
- Blackbox modeling of central heating and cooling plant equipment performance. Dans: Science and Technology for the Built Environment, v. 24, n. 4 (mars 2018). (2018):
- Energy and comfort performance benefits of early detection of building sensor and actuator faults. Dans: Building Services Engineering Research and Technology, v. 39, n. 6 (octobre 2018). (2018):
- Testing the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services. Dans: Energy and Buildings, v. 135 (janvier 2017). (2017):
- Inverse blackbox modeling of the heating and cooling load in office buildings. Dans: Energy and Buildings, v. 142 (mai 2017). (2017):
- Modelling and analysis of unsolicited temperature setpoint change requests in office buildings. Dans: Building and Environment, v. 133 (avril 2018). (2018):
- Characterization of a building's operation using automation data: A review and case study. Dans: Building and Environment, v. 118 (juin 2017). (2017):
- Text-mining building maintenance work orders for component fault frequency. Dans: Building Research & Information, v. 47, n. 5 ( 2019). (2019):
- A loosely coupled system integration approach for decision support in facility management and maintenance. Dans: Automation in Construction, v. 25 (août 2012). (2012):
- A practical solution for HVAC prognostics: Failure mode and effects analysis in building maintenance. Dans: Journal of Building Engineering, v. 15 (janvier 2018). (2018):
- Data analytics to improve building performance: A critical review. Dans: Automation in Construction, v. 97 (janvier 2019). (2019):