Ruth Kerrigan

发表

INDICATE: TOWARDS THE DEVELOPMENT OF A VIRTUAL CITY MODEL, USING A 3D MODEL OF DUNDALK CITY

Am Aidan Melia, En Eoin Nolan, Ruth Kerrigan, 2015 .

ISIGHTS ITO IMPROVIG THE EERGY PERFORMACE OF BUILDIGS TAKEFROM UK CASE STUDIES ITHE DOMESTIC AD EDUCATIO SECTORS

Richard Greenough, Ruth Kerrigan, Gavin Bunker, 2012 .

A Data-Driven Modelling Approach for Large Scale Demand Profiling of Residential Buildings

Ruth Kerrigan, James O'Donnell, Donal Finn, 2017 .

A methodology for calibration of building energy models at district scale using clustering and surrogate techniques

Ruth Kerrigan, Donal Finn, Michael Oates, 2020 .

Power quality analysis of energy efficient harmonic loads

Biswajit Basu, Malabika Basu, Ruth Kerrigan, 2014, 2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin).

Modelling Energy Flows Across Buildings, Facilities and Manufacturing Operations

Richard Greenough, Steve Evans, Li Shao, 2011 .

A study on the power quality of DG integrated building energy system in Virtual Environment

Biswajit Basu, Malabika Basu, Ruth Kerrigan, 2013, 2013 48th International Universities' Power Engineering Conference (UPEC).

Insights into Improving the Energy Performance of Buildings Taken from UK Case Studies in the Domestic and Education Sectors

Richard Greenough, Li Shao, Ruth Kerrigan, 2012 .

Prediction of Building Energy Use in An Urban Case Study using Data Driven Approaches

Ruth Kerrigan, Donal Finn, Giovanni Tardioli, 2015, Building Simulation Conference Proceedings.

Factory Modelling: Combining Energy Modelling for Buildings and Production Systems

Steve Evans, Li Shao, Ruth Kerrigan, 2012, APMS.

Modelling buildings, facilities and manufacturing operations to reduce energy consumption

Richard Greenough, Steve Evans, Li Shao, 2012 .

Placement of STATCOM to improve the power quality of a DG integrated building energy system in Virtual Environment

Biswajit Basu, Malabika Basu, Ruth Kerrigan, 2014, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE).

Identification of representative buildings and building groups in urban datasets using a novel pre-processing, classification, clustering and predictive modelling approach

Ruth Kerrigan, Donal Finn, James O'Donnell, 2018, Building and Environment.

Data Driven Approaches for Prediction of Building Energy Consumption at Urban Level

Ruth Kerrigan, Donal Finn, M. R. Oates, 2015 .