| An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities P O’Donovan, K Leahy, K Bruton, DTJ O’Sullivan Journal of Big Data 2 (1), 1-26, 2015 | 228 | 2015 |
| Big data in manufacturing: a systematic mapping study P O’donovan, K Leahy, K Bruton, DTJ O’Sullivan Journal of Big Data 2 (1), 1-22, 2015 | 194 | 2015 |
| A fog computing industrial cyber-physical system for embedded low-latency machine learning Industry 4.0 applications P O'donovan, C Gallagher, K Bruton, DTJ O'Sullivan Manufacturing letters 15, 139-142, 2018 | 121 | 2018 |
| Improving building operation by tracking performance metrics throughout the building lifecycle (BLC) DTJ O’Sullivan, MM Keane, D Kelliher, RJ Hitchcock Energy and buildings 36 (11), 1075-1090, 2004 | 121 | 2004 |
| Multi-variable optimization of thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms–A case study SN Murray, BP Walsh, D Kelliher, DTJ O'Sullivan Building and Environment 75, 98-107, 2014 | 104 | 2014 |
| Review of automated fault detection and diagnostic tools in air handling units K Bruton, P Raftery, B Kennedy, MM Keane, DTJ O’sullivan Energy efficiency 7 (2), 335-351, 2014 | 72 | 2014 |
| A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications P O’Donovan, C Gallagher, K Leahy, DTJ O’Sullivan Computers in industry 110, 12-35, 2019 | 68 | 2019 |
| The water energy nexus, an ISO50001 water case study and the need for a water value system BP Walsh, SN Murray, DTJ O’Sullivan Water Resources and Industry 10, 15-28, 2015 | 62 | 2015 |
| Diagnosing and PredictingWind Turbine Faults from SCADA Data Using Support Vector Machines K Leahy, RL Hu, IC Konstantakopoulos, CJ Spanos, AM Agogino, ... International Journal of Prognostics and Health Management 9 (1), 2018 | 53 | 2018 |
| Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units K Bruton, P Raftery, P O'Donovan, N Aughney, MM Keane, DTJ O'Sullivan Automation in Construction 39, 70-83, 2014 | 49 | 2014 |
| The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings CV Gallagher, K Bruton, K Leahy, DTJ O’Sullivan Energy and Buildings 158, 647-655, 2018 | 40 | 2018 |
| Comparative analysis of the AHU InFO fault detection and diagnostic expert tool for AHUs with APAR K Bruton, D Coakley, P Raftery, DO Cusack, MM Keane, DTJ O’sullivan Energy Efficiency 8 (2), 299-322, 2015 | 36 | 2015 |
| Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0 CV Gallagher, K Leahy, P O’Donovan, K Bruton, DTJ O’Sullivan Energy and Buildings 167, 8-22, 2018 | 31 | 2018 |
| Static Simulation: A sufficient modelling technique for retrofit analysis SN Murray, B Rocher, DTJ O'Sullivan Energy and Buildings 47, 113-121, 2012 | 31 | 2012 |
| A robust prescriptive framework and performance metric for diagnosing and predicting wind turbine faults based on SCADA and alarms data with case study K Leahy, C Gallagher, P O’Donovan, K Bruton, DTJ O’Sullivan Energies 11 (7), 1738, 2018 | 30 | 2018 |
| An industrial water management value system framework development BP Walsh, DO Cusack, DTJ O’Sullivan Sustainable Production and Consumption 5, 82-93, 2016 | 29 | 2016 |
| Automatically identifying and predicting unplanned wind turbine stoppages using scada and alarms system data: Case study and results K Leahy, C Gallagher, K Bruton, P O’Donovan, DTJ O’Sullivan Journal of Physics: Conference Series 926 (1), 012011, 2017 | 26 | 2017 |
| Model-based fault detection and diagnosis of air handling units: A comparison of methodologies R Sterling, G Provan, J Febres, D O'Sullivan, P Struss, MM Keane Energy Procedia 62, 686-693, 2014 | 26 | 2014 |
| Free-cooling thermal energy storage using phase change materials in an evaporative cooling system BP Walsh, SN Murray, DTJ O'Sullivan Applied Thermal Engineering 59 (1-2), 618-626, 2013 | 25 | 2013 |
| Issues with data quality for wind turbine condition monitoring and reliability analyses K Leahy, C Gallagher, P O’Donovan, DTJ O’Sullivan Energies 12 (2), 201, 2019 | 21 | 2019 |
