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A novel ensemble learning approach to support building energy use prediction
A novel ensemble learning approach to support building energy use prediction
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A novel ensemble learning approach to support building energy use prediction

Wang, Zeyu ; Wang, Yueren ; Srinivasan, Ravi S.

Energy and buildings, 2018-01, Vol.159, p.109-122 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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12
Development of historic building information modelling: a systematic literature review
Development of historic building information modelling: a systematic literature review
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Development of historic building information modelling: a systematic literature review

Bastem, Sumeyye Sena ; Cekmis, Asli

Building research and information : the international journal of research, development and demonstration, 2022-07, Vol.50 (5), p.527-558 [Periódico revisado por pares]

London: Routledge

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13
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
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Transfer learning with seasonal and trend adjustment for cross-building energy forecasting

Ribeiro, Mauro ; Grolinger, Katarina ; ElYamany, Hany F. ; Higashino, Wilson A. ; Capretz, Miriam A.M.

Energy and buildings, 2018-04, Vol.165, p.352-363 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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14
Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing
Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing
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Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing

Xu, Jie ; Ding, Lieyun ; Love, Peter E.D.

Automation in construction, 2017-04, Vol.76, p.85-96 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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15
Data driven parallel prediction of building energy consumption using generative adversarial nets
Data driven parallel prediction of building energy consumption using generative adversarial nets
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Data driven parallel prediction of building energy consumption using generative adversarial nets

Tian, Chenlu ; Li, Chengdong ; Zhang, Guiqing ; Lv, Yisheng

Energy and buildings, 2019-03, Vol.186, p.230-243 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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16
Integration of renewable technologies in historical and heritage buildings: A review
Integration of renewable technologies in historical and heritage buildings: A review
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Integration of renewable technologies in historical and heritage buildings: A review

Cabeza, Luisa F. ; de Gracia, Alvaro ; Pisello, Anna Laura

Energy and buildings, 2018-10, Vol.177, p.96-111 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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17
A morphological approach for kinetic façade design process to improve visual and thermal comfort: Review
A morphological approach for kinetic façade design process to improve visual and thermal comfort: Review
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A morphological approach for kinetic façade design process to improve visual and thermal comfort: Review

Hosseini, Seyed Morteza ; Mohammadi, Masi ; Rosemann, Alexander ; Schröder, Torsten ; Lichtenberg, Jos

Building and environment, 2019-04, Vol.153, p.186-204 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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18
Combination of nadiral and oblique UAV photogrammetry and HBIM for the virtual reconstruction of cultural heritage. Case study of Cortijo del Fraile in Níjar, Almería (Spain)
Combination of nadiral and oblique UAV photogrammetry and HBIM for the virtual reconstruction of cultural heritage. Case study of Cortijo del Fraile in Níjar, Almería (Spain)
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Combination of nadiral and oblique UAV photogrammetry and HBIM for the virtual reconstruction of cultural heritage. Case study of Cortijo del Fraile in Níjar, Almería (Spain)

Martínez-Carricondo, Patricio ; Carvajal-Ramírez, Fernando ; Yero-Paneque, Lourdes ; Agüera-Vega, Francisco

Building research and information : the international journal of research, development and demonstration, 2020-02, Vol.48 (2), p.140-159 [Periódico revisado por pares]

London: Routledge

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19
Incorporating machine learning with building network analysis to predict multi-building energy use
Incorporating machine learning with building network analysis to predict multi-building energy use
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Incorporating machine learning with building network analysis to predict multi-building energy use

Xu, Xiaodong ; Wang, Wei ; Hong, Tianzhen ; Chen, Jiayu

Energy and buildings, 2019-03, Vol.186 (C), p.80-97 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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20
Development of outdoor thermal comfort model for tourists in urban historical areas; A case study in Isfahan
Development of outdoor thermal comfort model for tourists in urban historical areas; A case study in Isfahan
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Development of outdoor thermal comfort model for tourists in urban historical areas; A case study in Isfahan

Nasrollahi, Nazanin ; Hatami, Zhila ; Taleghani, Mohammad

Building and environment, 2017-11, Vol.125, p.356-372 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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