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