James O'Donnell
- (2024): Life cycle cost analysis at scale: a reference architecture-based approach. In: Built Environment Project and Asset Management, v. 14, n. 5 (10 September 2024).
- (2024): Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach. In: Energy and Buildings, v. 303 (Januar 2024).
- (2021): Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis. In: Energy and Buildings, v. 246 (September 2021).
- (2021): Factors influencing radon concentration during energy retrofitting in domestic buildings: A computational evaluation. In: Building and Environment, v. 194 (Mai 2021).
- (2021): Building energy performance assessment using linked data and cross-domain semantic reasoning. In: Automation in Construction, v. 124 (April 2021).
- (2021): An information sharing strategy based on linked data for net zero energy buildings and clusters. In: Automation in Construction, v. 124 (April 2021).
- (2018): Review of district-scale energy performance analysis: Outlooks towards holistic urban frameworks. In: Sustainable Cities and Society, v. 41 (August 2018).
- (2019): A generalization approach for reduced order modelling of commercial buildings. In: Journal of Building Performance Simulation, v. 12, n. 6 (November 2019).
- (2019): A Contextual Ontology for Distributed Urban Data Management. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 172, n. 3 (September 2019).
- (2011): Calibrating whole building energy models: An evidence-based methodology. In: Energy and Buildings, v. 43, n. 9 (September 2011).
- (2012): Key factors methodology—A novel support to the decision making process of the building energy manager in defining optimal operation strategies. In: Energy and Buildings, v. 49 (Juni 2012).
- (2013): Scenario modelling: A holistic environmental and energy management method for building operation optimisation. In: Energy and Buildings, v. 62 (Juli 2013).
- (2017): Identifying stakeholders and key performance indicators for district and building energy performance analysis. In: Energy and Buildings, v. 155 (November 2017).
- (2018): A statistically-based fault detection approach for environmental and energy management in buildings. In: Energy and Buildings, v. 158 (Januar 2018).
- (2018): Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation. In: Energy and Buildings, v. 165 (April 2018).
- (2018): Quantitative evaluation of deep retrofitted social housing using metered gas data. In: Energy and Buildings, v. 170 (Juli 2018).
- (2018): Building performance evaluation using OpenMath and Linked Data. In: Energy and Buildings, v. 174 (September 2018).
- (2020): A methodology for calibration of building energy models at district scale using clustering and surrogate techniques. In: Energy and Buildings, v. 226 (November 2020).
- (2019): A data-driven approach for multi-scale building archetypes development. In: Energy and Buildings, v. 202 (November 2019).
- (2018): Identification of representative buildings and building groups in urban datasets using a novel pre-processing, classification, clustering and predictive modelling approach. In: Building and Environment, v. 140 (August 2018).
- (2017): Facade geometry generation from low-resolution aerial photographs for building energy modeling. In: Building and Environment, v. 123 (Oktober 2017).
- (2015): United States energy and CO2 savings potential from deployment of near-infrared electrochromic window glazings. In: Building and Environment, v. 89 (Juli 2015).
- (2013): Building performance optimization using cross-domain scenario modeling, linked data, and complex event processing. In: Building and Environment, v. 62 (April 2013).
- (2019): LiDAR point-cloud mapping of building façades for building energy performance simulation. In: Automation in Construction, v. 107 (November 2019).
- (2019): Enhancing energy management at district and building levels via an EM-KPI ontology. In: Automation in Construction, v. 99 (März 2019).
- (2016): Building performance optimisation: A hybrid architecture for the integration of contextual information and time-series data. In: Automation in Construction, v. 70 (Oktober 2016).
- (2015): A performance assessment ontology for the environmental and energy management of buildings. In: Automation in Construction, v. 57 (September 2015).
- (2018): MVD based information exchange between BIM and building energy performance simulation. In: Automation in Construction, v. 90 (Juni 2018).
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