建筑模拟(英文版)2021年第1期出版文献-钛学术文献服务平台

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建筑模拟(英文版)

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Building Simulation

影响因子 0.4912

主办单位：

清华大学

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CN：

10-1106/TU

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双月刊

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出版文献量（篇）

459

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年度刊次

1. Advanced data analytics for building energy modeling and management

作者： Cheng Fan Fu Xiao Da Yan

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 1-2

摘要： The data-driven approach has been widely adopted in fault detection and diagnosis and optimal c...
2. Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches

作者： Cheng Fan Da Yan Fu Xiao Ao Li Jingjing An Xuyuan Kang

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 3-24

摘要： Buildings have a significant impact on global sustainability. During the past decades, a wide v...
3. Extracting typical occupancy schedules from social media (TOSSM) and its integration with building energy modeling

作者： Xing Lu Fan Feng Zhihong Pang Tao Yang Zheng O'Neill

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 25-41

摘要： Building occupancy, one of the most important consequences of occupant behaviors, is a driving ...
4. Automated recognition and mapping of building management system (BMS) data points for building energy modeling (BEM)

作者： Sicheng Zhan Adrian Chong Bertrand Lasternas

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 43-52

摘要： With the advance of the internet of things and building management system (BMS) in modern build...
5. Fault detection for centrifugal chillers using a Kernel Entropy Component Analysis (KECA) method

作者： Yudong Xia Qiang Ding Zhao Li Aipeng Jiang

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 53-61

摘要： Fault detection is beneficial for chiller routine operation management in building automation s...
6. Data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings

作者： Zhe Chen Peng Xu Fan Feng Yifan Qiao Wei Luo

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 63-74

摘要： Heating, Ventilation, and Air-Conditioning (HVAC) control strategies are set arbitrarily in man...
7. Study on the application of reinforcement learning in the operation optimization of HVAC system

作者： Xiaolei Yuan Yiqun Pan Jianrong Yang Weitong Wang Zhizhong Huang

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 75-87

摘要： Supervisory control can be used to optimize the HVAC system operation and achieve building ener...
8. Development of an ANN-based building energy model for information– poor buildings using transfer learning

作者： Ao Li Fu Xiao Cheng Fan Maomao Hu

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 89-101

摘要： Accurate building energy prediction is vital to develop optimal control strategies to enhance b...
9. Clustering and classification of energy meter data: A comparison analysis of data from individual homes and the aggregated data from multiple homes

作者： Juan Sala Rongling Li Morten H.Christensen

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 103-117

摘要： The transition towards a more sustainable environment requires the development of new control s...
10. Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering

作者： Matias Quintana Pandarasamy Arjunan Clayton Miller

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 119-130

摘要： Many energy performance analysis methodologies assign buildings a descriptive label that repres...
11. A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings

作者： Marco Savino Piscitelli Silvio Brandi Alfonso Capozzoli Fu Xiao

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 131-147

摘要： In this paper, a tool for the detection and diagnosis of anomalous electrical daily energy patt...
12. Clustering-based probability distribution model for monthly residential building electricity consumption analysis

作者： Jieyan Xu Xuyuan Kang Zheng Chen Da Yan Siyue Guo Yuan Jin Tianyi Hao Rongda Jia

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 149-164

摘要： Electricity is now the major form of energy used in residential buildings and has seen a signif...
13. Autoregressive neural networks with exogenous variables for indoor temperature prediction in buildings

作者： Benoit Delcroix Jér?me Le Ny Michel Bernier Muhammad Azam Bingrui Qu Jean-Simon Venne

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 165-178

摘要： Thermal models of buildings are helpful to forecast their energy use and to enhance the control...
14. Energy characteristics of urban buildings: Assessment by machine learning

作者： Wei Tian Chuanqi Zhu Yu Sun Zhanyong Li Baoquan Yin

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 179-193

摘要： Machine learning techniques have attracted more attention as advanced data analytics in buildin...
15. Improved peak load management control technique for nonlinear and dynamic residential energy consumption pattern

作者： Olawale Popoola MoreBlessing Chipango

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 195-208

摘要： Advancements in computational technologies for residential energy management have become widesp...
16. Impacts of technology-guided occupant behavior on air-conditioning system control and building energy use

作者： Rui Tang Shengwei Wang Shaobo Sun

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 209-217

摘要： Occupant behavior is an important factor affecting building energy consumption. Many studies ha...
17. A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development

作者： Yuan Jin Da Yan Xingxing Zhang Jingjing An Mengjie Han

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 219-235

摘要： The lighting system accounts for 8％ of the total electricity consumption in commercial building...
18. Instructions for authors

作者：

刊名：建筑模拟(英文版)

发表期刊： 2021年1期

页码: 封3

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建筑模拟(英文版)基本信息

刊名	建筑模拟(英文版)	主编
曾用名
主办单位	清华大学	主管单位	教育部
出版周期	双月刊	语种	eng
ISSN		CN	10-1106/TU
邮编		电子邮箱
电话		网址
地址