| A review of methods to match building energy simulation models to measured data D Coakley, P Raftery, M Keane Renewable and sustainable energy reviews 37, 123-141, 2014 | 891 | 2014 |
| Building operation and energy performance: Monitoring, analysis and optimisation toolkit A Costa, MM Keane, JI Torrens, E Corry Applied Energy 101, 310-316, 2013 | 407 | 2013 |
| Calibrating whole building energy models: An evidence-based methodology P Raftery, M Keane, J O’Donnell Energy and Buildings 43 (9), 2356-2364, 2011 | 376 | 2011 |
| Linking building data in the cloud: Integrating cross-domain building data using linked data E Curry, J O’Donnell, E Corry, S Hasan, M Keane, S O’Riain Advanced Engineering Informatics 27 (2), 206-219, 2013 | 256 | 2013 |
| Calibrating whole building energy models: Detailed case study using hourly measured data P Raftery, M Keane, A Costa Energy and buildings 43 (12), 3666-3679, 2011 | 254 | 2011 |
| Model calibration for building energy efficiency simulation G Mustafaraj, D Marini, A Costa, M Keane Applied Energy 130, 72-85, 2014 | 217 | 2014 |
| 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 | 131 | 2004 |
| A performance assessment ontology for the environmental and energy management of buildings E Corry, P Pauwels, S Hu, M Keane, J O'Donnell Automation in Construction 57, 249-259, 2015 | 120 | 2015 |
| An Indoor Environmental Quality (IEQ) assessment of a partially-retrofitted university building S Zuhaib, R Manton, C Griffin, M Hajdukiewicz, MM Keane, J Goggins Building and Environment 139, 69-85, 2018 | 102 | 2018 |
| Formal calibration methodology for CFD models of naturally ventilated indoor environments M Hajdukiewicz, M Geron, MM Keane Building and Environment 59, 290-302, 2013 | 94 | 2013 |
| 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, 335-351, 2014 | 91 | 2014 |
| Calibrated CFD simulation to evaluate thermal comfort in a highly-glazed naturally ventilated room M Hajdukiewicz, M Geron, MM Keane Building and Environment 70, 73-89, 2013 | 87 | 2013 |
| Deep reinforcement learning for home energy management system control P Lissa, C Deane, M Schukat, F Seri, M Keane, E Barrett Energy and AI 3, 100043, 2021 | 77 | 2021 |
| Towards a wireless sensor platform for energy efficient building operation K Menzel, D Pesch, B O'Flynn, M Keane, C O'Mathuna Tsinghua Science and Technology 13 (S1), 381-386, 2008 | 76 | 2008 |
| Using indicators to profile energy consumption and to inform energy policy in a university—A case study in Ireland BPÓ Gallachóir, M Keane, E Morrissey, J O’Donnell Energy and Buildings 39 (8), 913-922, 2007 | 66 | 2007 |
| 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 | 64 | 2014 |
| Calibration of a detailed simulation model to energy monitoring system data: a methodology and case study P Raftery, M Keane, A Costa Proceedings of the 11th IBPSA Conference, Glasgow, UK, 2009 | 59 | 2009 |
| Ontology-based facility data model for energy management NM Tomašević, MČ Batić, LM Blanes, MM Keane, S Vraneš Advanced Engineering Informatics 29 (4), 971-984, 2015 | 58 | 2015 |
| Building performance optimization using cross-domain scenario modeling, linked data, and complex event processing J O’Donnell, E Corry, S Hasan, M Keane, E Curry Building and Environment 62, 102-111, 2013 | 53 | 2013 |
| Development of a Global Energy Management System for non-energy intensive multi-site industrial organisations: A methodology N Finnerty, R Sterling, D Coakley, S Contreras, R Coffey, MM Keane Energy 136, 16-31, 2017 | 49 | 2017 |
Daniel CoakleySustainability Manager at Lloyds Banking GroupVerified email at danielcoakley.com
