Utilising the Cross Industry Standard Process for Data Mining to Reduce Uncertainty in the Measurement and Verification of Energy Savings. - Colm V. Gallagher; Ken Bruton; Dominic T. J. O'Sullivan (DMBD, 2016)

Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0. - Colm V. Gallagher; Kevin Leahy 002; Peter O'Donovan; Ken Bruton; Dominic T. J. O'Sullivan (CoRR, 2018)

A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications. - Peter O'Donovan; Colm V. Gallagher; Kevin Leahy 002; Dominic T. J. O'Sullivan (Comput. Ind., 2019)