- Implementation of the IDAIC framework on an air handling unit to transition to proactive maintenance. In: Energy and Buildings, v. 284 (April 2023). (2023):
- The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings. In: Energy and Buildings, v. 158 (January 2018). (2018):
- Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0. In: Energy and Buildings, v. 167 (May 2018). (2018):
- IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection. In: Energy and Buildings, v. 185 (February 2019). (2019):
- Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units. In: Automation in Construction, v. 39 (April 2014). (2014):