Kevin Leahy
- The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings. Dans: Energy and Buildings, v. 158 (janvier 2018). (2018):
- Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0. Dans: Energy and Buildings, v. 167 (mai 2018). (2018):
- IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection. Dans: Energy and Buildings, v. 185 (février 2019). (2019):