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1
Italian prototype building models for urban scale building performance simulation
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Italian prototype building models for urban scale building performance simulation

Carnieletto, Laura ; Ferrando, Martina ; Teso, Lorenzo ; Sun, Kaiyu ; Zhang, Wanni ; Causone, Francesco ; Romagnoni, Piercarlo ; Zarrella, Angelo ; Hong, Tianzhen

Building and environment, 2021-04, Vol.192, p.107590, Article 107590 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Archetype identification and urban building energy modeling for city-scale buildings based on GIS datasets
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Archetype identification and urban building energy modeling for city-scale buildings based on GIS datasets

Deng, Zhang ; Chen, Yixing ; Yang, Jingjing ; Chen, Zhihua

Building simulation, 2022, Vol.15 (9), p.1547-1559 [Periódico revisado por pares]

Beijing: Tsinghua University Press

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How will future climate impact the design and performance of nearly zero energy buildings (NZEBs)?
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How will future climate impact the design and performance of nearly zero energy buildings (NZEBs)?

D'Agostino, D. ; Parker, D. ; Epifani, I. ; Crawley, D. ; Lawrie, L.

Energy (Oxford), 2022-02, Vol.240, p.122479, Article 122479 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Ten questions on urban building energy modeling
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Ten questions on urban building energy modeling

Hong, Tianzhen ; Chen, Yixing ; Luo, Xuan ; Luo, Na ; Lee, Sang Hoon

Building and environment, 2020-01, Vol.168 (C), p.106508, Article 106508 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Data analytics to improve building performance: A critical review
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Data analytics to improve building performance: A critical review

Burak Gunay, H. ; Shen, Weiming ; Newsham, Guy

Automation in construction, 2019-01, Vol.97, p.96-109 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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6
A Process for Defining Prototype Building Models: Courthouse Case Study for U.S. Commercial Energy
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A Process for Defining Prototype Building Models: Courthouse Case Study for U.S. Commercial Energy

Malhotra, Mini ; Im, Piljae ; New, Joshua

Energies (Basel), 2019-10, Vol.12 (20), p.4020 [Periódico revisado por pares]

Basel: MDPI AG

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7
Application and evaluation of a pattern-based building energy model calibration method using public building datasets
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Application and evaluation of a pattern-based building energy model calibration method using public building datasets

Sun, Kaiyu ; Hong, Tianzhen ; Kim, Janghyun ; Hooper, Barry

Building simulation, 2022-08, Vol.15 (8), p.1385-1400 [Periódico revisado por pares]

Beijing: Tsinghua University Press

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8
Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds
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Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds

Ma, Jong Won ; Czerniawski, Thomas ; Leite, Fernanda

Automation in construction, 2020-05, Vol.113, p.103144, Article 103144 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Identifying key determinants for building energy analysis from urban building datasets
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Identifying key determinants for building energy analysis from urban building datasets

Li, Xiangfeng ; Ying, Yuan ; Xu, Xiaodong ; Wang, Yiwei ; Hussain, Syed Asad ; Hong, Tianzhen ; Wang, Wei

Building and environment, 2020-08, Vol.181, p.107114, Article 107114 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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

Tardioli, Giovanni ; Kerrigan, Ruth ; Oates, Mike ; O'Donnell, James ; Finn, Donal P.

Building and environment, 2018-08, Vol.140, p.90-106 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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