Advancing the Industrial Sectors Participation in Demand Response within National Electricity Grids von Brem, Alexander, O'Sullivan, Dominic T. J., Bruton, Ken

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Development of a Framework to Aid the Transition from Reactive to Proactive Maintenance Approaches to Enable Energy Reduction 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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Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses von Leahy, Kevin, Gallagher, Colm, Peter O’Donovan, Dominic T J O’Sullivan

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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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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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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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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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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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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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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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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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A Systematic Analysis of Real-World Energy Blockchain Initiatives von O’Donovan, Peter, O’Sullivan, Dominic T. J.

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Big data in manufacturing: a systematic mapping study von O’Donovan, Peter, Leahy, Kevin, Bruton, Ken, O’Sullivan, Dominic T. J.

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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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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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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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Design and utilization of a decision support tool to advance energy efficiency in industries von Ashabi, Arman, Mostafa, Mohamed, Hryshchenko, Andriy, Bruton, Ken, Dominic, T.J. O’Sullivan

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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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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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