| 1 |
IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection
Gallagher CV, Leahy K, O'Donovan P, Bruton K, O'Sullivan DTJ
Energy and Buildings, 185, 26, 2019 |
| 2 |
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0
Gallagher CV, Leahy K, O'Donovan P, Bruton K, O'Sullivan DTJ
Energy and Buildings, 167, 8, 2018 |
| 3 |
The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings
Gallagher CV, Bruton K, Leahy K, O'Sullivan DTJ
Energy and Buildings, 158, 647, 2018 |
| 4 |
Static Simulation: A sufficient modelling technique for retrofit analysis
Murray SN, Rocher B, O'Sullivan DTJ
Energy and Buildings, 47, 113, 2012 |
| 5 |
Improving building operation by tracking performance metrics throughout the building lifecycle (BLC)
O'Sullivan DTJ, Keane MM, Kelliher D, Hitchcock RJ
Energy and Buildings, 36(11), 1075, 2004 |
