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Citations (46)
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Mohammad Derakhti, William O’Brien & Scott Bucking. (2022) Impact of measured data frequency on commercial building energy model calibration for retrofit analysis. Science and Technology for the Built Environment 28:5, pages 628-644.
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Anmol Mathur, Pamela Fennell, Rajan Rawal & Ivan Korolija. (2021) Assessing a fit-for-purpose urban building energy modelling framework with reference to Ahmedabad. Science and Technology for the Built Environment 27:8, pages 1075-1103.
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Yun-Dam Ko & Cheol-Soo Park. (2021) Parameter estimation of unknown properties using transfer learning from virtual to existing buildings. Journal of Building Performance Simulation 14:5, pages 503-514.
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Rafael Campamà Pizarro, Ricardo Bernardo & Maria Wall. (2023) Streamlining Building Energy Modelling Using Open Access Databases—A Methodology towards Decarbonisation of Residential Buildings in Sweden. Sustainability 15:5, pages 3887.
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Kailun Feng, Weizhuo Lu, Yaowu Wang & Qingpeng Man. (2022) Energy-Efficient Retrofitting under Incomplete Information: A Data-Driven Approach and Empirical Study of Sweden. Buildings 12:8, pages 1244.
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Alex Gonzalez-Caceres, Jan Karlshøj, Tor Arvid Vik, Ernst Hempel & Toke Rammer Nielsen. (2022) Evaluation of cost-effective measures for the renovation of existing dwellings in the framework of the energy certification system: A case study in Norway. Energy and Buildings 264, pages 112071.
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Javed Mallick, Swapan Talukdar & Mohd. Ahmed. (2022) Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia. Applied Water Science 12:4.
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Yu Qian Ang, Zachary Michael Berzolla, Samuel Letellier-Duchesne, Violetta Jusiega & Christoph Reinhart. (2022) UBEM.io: A web-based framework to rapidly generate urban building energy models for carbon reduction technology pathways. Sustainable Cities and Society 77, pages 103534.
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Adrian Chong, Yaonan Gu & Hongyuan Jia. (2021) Calibrating building energy simulation models: A review of the basics to guide future work. Energy and Buildings 253, pages 111533.
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Javed Mallick, Swapan Talukdar, Nabil Ben Kahla, Mohd. Ahmed, Majed Alsubih, Mohammed K. Almesfer & Abu Reza Md. Towfiqul Islam. (2021) A Novel Hybrid Model for Developing Groundwater Potentiality Model Using High Resolution Digital Elevation Model (DEM) Derived Factors. Water 13:19, pages 2632.
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Martín Mosteiro-Romero & Arno Schlueter. (2021) Effects of Occupants and Local Air Temperatures as Sources of Stochastic Uncertainty in District Energy System Modeling. Energies 14:8, pages 2295.
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Norhan Bayomi, Shreshth Nagpal, Tarek Rakha & John E. Fernandez. (2021) Building envelope modeling calibration using aerial thermography. Energy and Buildings 233, pages 110648.
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Kathy Baylis, Thomas Heckelei & Hugo Storm. 2021.
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Dong Hyuk Yi, Deuk Woo Kim & Cheol Soo Park. (2020) Prior selection method using likelihood confidence region and Dirichlet process Gaussian mixture model for Bayesian inference of building energy models. Energy and Buildings 224, pages 110293.
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Paul Westermann, Chirag Deb, Arno Schlueter & Ralph Evins. (2020) Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data. Applied Energy 264, pages 114715.
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Zhihong Pang & Zheng O'Neill. (2018) Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels. Applied Energy 232, pages 424-442.
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