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Journal of Building Performance Simulation Volume 8, 2015 - Issue 6
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Original Articles

Application of a Monte Carlo model to predict space heating energy use of Belgrade's housing stock

Miroslava KavgicThe Bartlett School of Graduate Studies, University College London, Gower Street, WC1E 6BTLondon, UKCorrespondence[email protected]
,
Alex SummerfieldEnergy Institute, University College London, Gower Street, WC1E 6BTLondon, UK
,
Dejan MumovicThe Bartlett School of Graduate Studies, University College London, Gower Street, WC1E 6BTLondon, UK
&
Zarko StevanovicInstitute of Nuclear Sciences-Vinca, University of Belgrade, PO Box 522, 11001Belgrade, Serbia
Pages 375-390 | Received 23 Oct 2013, Accepted 30 Aug 2014, Published online: 03 Dec 2014

Citations (17)

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Reihaneh Aghamolaei. (2019) Evaluation of Supply and Demand in Building Energy Performance: Application of Retrofit Scenarios in Residential Building. Energy Engineering 116:1, pages 60-79.
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Articles from other publishers (16)

J Dong, Y Schwartz, A Mavrogianni, I Korolija & D Mumovic. (2023) A review of approaches and applications in building stock energy and indoor environment modelling. Building Services Engineering Research and Technology 44:3, pages 333-354.
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Qi Lin, Ke Liu, Boyeong Hong, Xiaodong Xu, Jiayu Chen & Wei Wang. (2022) A data-driven framework for abnormally high building energy demand detection with weather and block morphology at community scale. Journal of Cleaner Production 354, pages 131602.
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Enrico Prataviera, Jacopo Vivian, Giulia Lombardo & Angelo Zarrella. (2022) Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis. Applied Energy 311, pages 118691.
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Wei Wang, Qi Lin, Jiayu Chen, Xiangfeng Li, Yiqiao Sun & Xiaodong Xu. (2021) Urban building energy prediction at neighborhood scale. Energy and Buildings 251, pages 111307.
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Ruslan Zhuravchak, Raquel Alonso Pedrero, Pedro Crespo del Granado, Natasa Nord & Helge Brattebø. (2021) Top-down spatially-explicit probabilistic estimation of building energy performance at a scale. Energy and Buildings 238, pages 110786.
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Natasa Nord, Yiyu Ding, Ola Skrautvol & Stian Fossmo Eliassen. (2021) Energy Pathways for Future Norwegian Residential Building Areas. Energies 14:4, pages 934.
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Lin Lin, Xiaohua Liu, Tao Zhang, Xichen Liu & Xiangyang Rong. (2021) Cooling load characteristic and uncertainty analysis of a hub airport terminal. Energy and Buildings 231, pages 110619.
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Nan Wu & Shen-Guan Shih. (2020) RETRACTED: Cost estimation through Monte Carlo simulation in architectural early design stage. The International Journal of Electrical Engineering & Education, pages 002072092092330.
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Wei Wang, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Ziang Liu & Ning Xu. (2019) Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm. Applied Energy 248, pages 217-230.
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Pedro Palma, João Pedro Gouveia & Sofia G. Simoes. (2019) Mapping the energy performance gap of dwelling stock at high-resolution scale: Implications for thermal comfort in Portuguese households. Energy and Buildings 190, pages 246-261.
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Xiaodong Xu, Wei Wang, Tianzhen Hong & Jiayu Chen. (2019) Incorporating machine learning with building network analysis to predict multi-building energy use. Energy and Buildings 186, pages 80-97.
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Natasa Nord, Ola Skrautvol, Stian Fossmo Eliassen & Tymofii Tereshchenko. 2019. Cold Climate HVAC 2018. Cold Climate HVAC 2018 505 517 .
Wei Tian, Yeonsook Heo, Pieter de Wilde, Zhanyong Li, Da Yan, Cheol Soo Park, Xiaohang Feng & Godfried Augenbroe. (2018) A review of uncertainty analysis in building energy assessment. Renewable and Sustainable Energy Reviews 93, pages 285-301.
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J.N.B. Fonseca & Marta J.N. Oliveira Panão. (2017) Monte Carlo housing stock model to predict the energy performance indicators. Energy and Buildings 152, pages 503-515.
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Wei Tian, Xing Fu, Yu Sun, Baoquan Yin, Xianhao Meng & Yunliang Liu. (2017) Sustainable Building Design Based on the Second Order Probability Approach. Procedia Engineering 205, pages 1056-1063.
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Natasa Nord, Live Holmedal Qvistgaard & Guangyu Cao. (2015) Identifying key design parameters of the integrated energy system for a residential Zero Emission Building in Norway. Renewable Energy.
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