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Volumn 172, Issue , 2017, Pages 544-549

Big Data in Building Energy Efficiency: Understanding of Big Data and Main Challenges

Author keywords

Big Data; Big Data analysis; Characteristics of Big Data; Construction; Energy Efficiency; Web of Science

Indexed keywords

BUILDING MATERIALS; COLLECTOR EFFICIENCY; CONSTRUCTION; CONSTRUCTION INDUSTRY; DATA HANDLING; ENERGY EFFICIENCY; INFORMATION ANALYSIS; INFORMATION MANAGEMENT; PILES;

EID: 85016299095     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2017.02.064     Document Type: Conference Paper
Times cited : (102)

References (12)
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    • C. Fan, F. Xiao, H. Madsen, and D. Wang Temporal Knowledge Discovery in Big BAS Data for Building Energy Management Energy and Buildings 190 2015 75 89
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  • 2
    • 84917706998 scopus 로고    scopus 로고
    • Big-data for building energy performance: Lessons from assembling a very large national database of building energy use
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    • Mathew, P.A.1    Dunn, L.N.2    Sohn, M.D.3
  • 3
    • 84949494790 scopus 로고    scopus 로고
    • Big Data Driven Smart Energy Management: From Big Data to Big Insights
    • K. Zhou, C. Fu, and S. Yang Big Data Driven Smart Energy Management: From Big Data to Big Insights Renewable and Sustainable Energy Reviews 56 2015 215 225
    • (2015) Renewable and Sustainable Energy Reviews , vol.56 , pp. 215-225
    • Zhou, K.1    Fu, C.2    Yang, S.3
  • 6
    • 84943350772 scopus 로고    scopus 로고
    • Social Big Data: Recent Achievements and New Challenges
    • G. Bello-Orgaz, J. Jung, and D. Camacho Social Big Data: Recent Achievements and New Challenges Information Fusion 28 2016 45 59
    • (2016) Information Fusion , vol.28 , pp. 45-59
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  • 7
    • 84944067855 scopus 로고    scopus 로고
    • A Survey of Big Data Research
    • H. Fang, Z. Zhang, and C.J. Wang A Survey of Big Data Research Ieee Network 29 5 2015 6 9
    • (2015) Ieee Network , vol.29 , Issue.5 , pp. 6-9
    • Fang, H.1    Zhang, Z.2    Wang, C.J.3
  • 8
    • 84901705764 scopus 로고    scopus 로고
    • Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications
    • B.T. Hazen, C.A. Boone, and J.D. Ezell Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications International Journal of Production Economics 154 2014 72 80
    • (2014) International Journal of Production Economics , vol.154 , pp. 72-80
    • Hazen, B.T.1    Boone, C.A.2    Ezell, J.D.3
  • 9
    • 84891417379 scopus 로고    scopus 로고
    • Reliability Meets Big Data: Opportunities and Challenges
    • W.Q. Meeker, and Y. Hong Reliability Meets Big Data: Opportunities and Challenges Quality Engineering 26 1 2014 102 116
    • (2014) Quality Engineering , vol.26 , Issue.1 , pp. 102-116
    • Meeker, W.Q.1    Hong, Y.2
  • 12
    • 84943794846 scopus 로고    scopus 로고
    • Big Provision: A Provisioning Framework for Big Data Analytics
    • H. Li, K. Lu, and S. Meng Big Provision: A Provisioning Framework for Big Data Analytics Ieee Network 29 5 2015 50 56
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    • Li, H.1    Lu, K.2    Meng, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.