A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications von O’Donovan, Peter, Gallagher, Colm, Leahy, Kevin, O’Sullivan, Dominic T.J.

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The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings von Gallagher, Colm V., Bruton, Ken, Leahy, Kevin, O’Sullivan, Dominic T.J.

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

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IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection von Gallagher, Colm V., Leahy, Kevin, O’Donovan, Peter, Bruton, Ken, O’Sullivan, Dominic T.J.

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Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results von Leahy, Kevin, Gallagher, Colm, Bruton, Ken, O'Donovan, Peter, O'Sullivan, Dominic T.J.

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Cluster analysis of wind turbine alarms for characterising and classifying stoppages von Leahy, Kevin, Gallagher, Colm, O'Donovan, Peter, O'Sullivan, Dominic T.J

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A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility von Ahern, Michael, O'Sullivan, Dominic T.J., Bruton, Ken

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IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities von O’Donovan, Peter, Bruton, Ken, T.J. O’Sullivan, Dominic

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How do companies certified to ISO 50001 and ISO 14001 perform in LEED and BREEAM assessments? von Brem, Alexander, Cusack, Dónal Óg, Adrita, Mumtahina Mahajabin, O’Sullivan, Dominic T. J., Bruton, Ken

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Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing von O’Donovan, Peter, Bruton, Ken, T.J. O’Sullivan, Dominic

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Industrial smart and micro grid systems – A systematic mapping study von Brem, Alexander, Adrita, Mumtahina Mahajabin, O’Sullivan, Dominic T.J., Bruton, Ken

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A fog computing industrial cyber-physical system for embedded low-latency machine learning Industry 4.0 applications von O'Donovan, Peter, Gallagher, Colm, Bruton, Ken, O'Sullivan, Dominic T.J.

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The HyDAPI framework: a versatile tool integrating Lean Six Sigma and digitalisation for improved quality management in Industry 4.0 von Clancy, Rose, Bruton, Ken, O’Sullivan, Dominic T.J., Cloonan, Aidan J.

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Implementation of the IDAIC framework on an air handling unit to transition to proactive maintenance von Ahern, Michael, O'Sullivan, Dominic T.J., Bruton, Ken

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Energy efficient ventilation and indoor air quality in the context of COVID-19 - A systematic review von Moghadam, Talie T., Ochoa Morales, Carlos E., Lopez Zambrano, Maria J., Bruton, Ken, O'Sullivan, Dominic T.J.

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A Data-Driven Framework for Quantifying Demand Response Participation Benefit of Industrial Consumers von Siddiquee, S M Shahnewaz, Agyeman, Kofi Afrifa, Bruton, Ken, Howard, Bianca, O'Sullivan, Dominic T.J.

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A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study von Leahy, Kevin, Gallagher, Colm, O’Donovan, Peter, Bruton, Ken, O’Sullivan, Dominic

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Optimization of Distributed Energy Resources in an Industrial Microgrid von Blake, Sean T., O'Sullivan, Dominic T.J.

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Progress in Demand Response and It's Industrial Applications von Siddiquee, S. M. Shahnewaz, Howard, Bianca, Bruton, Ken, Brem, Alexander, O'Sullivan, Dominic T. J.

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Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility von Leahy, Kevin, Gallagher, Colm, O’Donovan, Peter, O’Sullivan, Dominic T.J.

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