Data-Driven Modeling and Optimization of Building Energy Consumption: a Case Study

2020 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm41954.2020.9281663 ◽

2020 ◽

Author(s):

Divas Grover ◽

Yaser P. Fallah ◽

Qun Zhou ◽

P.E. Ian LaHiff

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Building Energy Consumption ◽

Modeling And Optimization ◽

Data Driven Modeling

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A review of data-driven building energy consumption prediction studies

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.04.095 ◽

2018 ◽

Vol 81 ◽

pp. 1192-1205 ◽

Author(s):

Kadir Amasyali ◽

Nora M. El-Gohary

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Building Energy Consumption ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Analysis on the Influencing Factors of Building Energy Consumption—A Southwest China Case Study

Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate ◽

10.1007/978-981-10-6190-5_24 ◽

2017 ◽

pp. 259-272

Author(s):

Z. N. Zhao ◽

H. M. Zhang ◽

Y. F. Ding ◽

L. Y. Shen

Keyword(s):

Energy Consumption ◽

Influencing Factors ◽

Southwest China ◽

Building Energy ◽

Building Energy Consumption

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Impact of Occupants’ Behavior Uncertainty on Building Energy Consumption Through the Karhunen-Loève Expansion Technique: A Case Study in Italy

10.1007/978-981-16-6269-0_17 ◽

2021 ◽

pp. 197-207

Author(s):

Gianluca Maracchini ◽

Elisa Di Giuseppe ◽

Marco D’Orazio

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Building Energy Consumption ◽

Expansion Technique

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Data-Driven Approaches for Prediction and Classification of Building Energy Consumption

10.1007/978-981-16-2778-1_2 ◽

2021 ◽

pp. 11-45

Author(s):

Yixuan Wei ◽

Xingxing Zhang ◽

Yong Shi

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Building Energy Consumption

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The impact of thermal mass on building energy consumption: A case study in Al Mafraq city in Jordan

Cogent Engineering ◽

10.1080/23311916.2020.1804092 ◽

2020 ◽

Vol 7 (1) ◽

pp. 1804092 ◽

Author(s):

Firas Sharaf

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Thermal Mass ◽

Building Energy Consumption ◽

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Urban-scale building energy consumption database: a case study for Wuhan, China

Energy Procedia ◽

10.1016/j.egypro.2019.01.102 ◽

2019 ◽

Vol 158 ◽

pp. 6551-6556

Author(s):

Chao Ding ◽

Wei Feng ◽

Xiwang Li ◽

Nan Zhou

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Building Energy Consumption

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Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach

Applied Energy ◽

10.1016/j.apenergy.2021.117453 ◽

2021 ◽

Vol 301 ◽

pp. 117453

Author(s):

Zhongnan Ye ◽

Kuangly Cheng ◽

Shu-Chien Hsu ◽

Hsi-Hsien Wei ◽

Clara Man Cheung

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Learning Approach ◽

Building Energy Consumption ◽

Machine Learning Approach ◽

Block Level ◽

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Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method

Soft Computing ◽

10.1007/s00500-013-1117-4 ◽

2013 ◽

Vol 17 (11) ◽

pp. 2075-2088 ◽

Author(s):

Chengdong Li ◽

Guiqing Zhang ◽

Ming Wang ◽

Jianqiang Yi

Keyword(s):

Energy Consumption ◽

Thermal Comfort ◽

Data Driven ◽

Modeling And Optimization ◽

Fuzzy Method ◽

Data Driven Modeling

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Auto-tuning method for data-driven models in building energy consumption prediction: a case of cooling load prediction

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/609/5/052031 ◽

2019 ◽

Vol 609 ◽

pp. 052031

Author(s):

Xuyuan Kang ◽

Da Yan ◽

Yuan Jin ◽

Hongsan Sun

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Cooling Load ◽

Building Energy Consumption ◽

Load Prediction ◽

Tuning Method ◽

Auto Tuning ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Data-driven estimation of building energy consumption with multi-source heterogeneous data

Applied Energy ◽

10.1016/j.apenergy.2020.114965 ◽

2020 ◽

Vol 268 ◽

pp. 114965 ◽

Author(s):

Yue Pan ◽

Limao Zhang

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Heterogeneous Data ◽

Data Driven ◽

Building Energy Consumption

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