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Volumn , Issue , 2016, Pages 303-308

Finding the Different Patterns in Buildings Data Using Bag of Words Representation with Clustering

Author keywords

Bag of words representation (BoWR); Building energy performance; clustering; Coefficient of Performance (COP); Dynamic time warping (DTW); Fault detection and diagnosis (FDD); hierarchical clustering; symbolic aggregate approximation (SAX)

Indexed keywords

AGGREGATES; BUILDINGS; COOLING SYSTEMS; FAULT DETECTION;

EID: 84964626330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FIT.2015.60     Document Type: Conference Paper
Times cited : (9)

References (26)
  • 2
    • 0036210172 scopus 로고    scopus 로고
    • A method for automatic validation of long time series of data in urban hydrology
    • Mar.
    • M. Mohammad and B.-K. Jean-Luc, "A method for automatic validation of long time series of data in urban hydrology," Water Sci. Technol., vol. 45, no. 4-5, pp. 263-270, Mar. 2002.
    • (2002) Water Sci. Technol. , vol.45 , Issue.4-5 , pp. 263-270
    • Mohammad, M.1    Jean-Luc, B.-K.2
  • 3
    • 84922522393 scopus 로고    scopus 로고
    • Automated daily pattern filtering of measured building performance data
    • Jan.
    • C. Miller, Z. Nagy, and A. Schlueter, "Automated daily pattern filtering of measured building performance data," Autom. Constr., vol. 49, Part A, pp. 1-17, Jan. 2015.
    • (2015) Autom. Constr. , vol.49 , pp. 1-17
    • Miller, C.1    Nagy, Z.2    Schlueter, A.3
  • 4
    • 84874720586 scopus 로고    scopus 로고
    • Analysis of similarity measures in times series clustering for the discovery of building energy patterns
    • Jan.
    • F. Iglesias and W. Kastner, "Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns," Energies, vol. 6, no. 2, pp. 579-597, Jan. 2013.
    • (2013) Energies , vol.6 , Issue.2 , pp. 579-597
    • Iglesias, F.1    Kastner, W.2
  • 6
    • 69049104535 scopus 로고    scopus 로고
    • Finding structural similarity in time series data using bag-of-patterns representation
    • M. Winslett, Ed. Springer Berlin Heidelberg
    • J. Lin and Y. Li, "Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation," in Scientific and Statistical Database Management, M. Winslett, Ed. Springer Berlin Heidelberg, 2009, pp. 461-477.
    • (2009) Scientific and Statistical Database Management , pp. 461-477
    • Lin, J.1    Li, Y.2
  • 7
    • 84893343857 scopus 로고    scopus 로고
    • Comparison of hierarchical cluster analysis methods by cophenetic correlation
    • Apr.
    • S. Saraçli, N. Doǧan, and İ. Doǧan, "Comparison of hierarchical cluster analysis methods by cophenetic correlation," J. Inequalities Appl., vol. 2013, no. 1, pp. 1-8, Apr. 2013.
    • (2013) J. Inequalities Appl. , vol.2013 , Issue.1 , pp. 1-8
    • Saraçli, S.1    Doǧan, N.2    Doǧan, I.3
  • 8
    • 14544268558 scopus 로고    scopus 로고
    • Review article: Methods for fault detection, diagnostics, and prognostics for building systems-A review, part I
    • S. Katipamula and M. R. Brambley, "Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems-A Review, Part I," HVACR Res., vol. 11, no. 1, pp. 3-25, 2005.
    • (2005) HVACR Res. , vol.11 , Issue.1 , pp. 3-25
    • Katipamula, S.1    Brambley, M.R.2
  • 9
    • 18944392642 scopus 로고    scopus 로고
    • Review article: Methods for fault detection, diagnostics, and prognostics for building systems-A review, Part II
    • Apr.
    • S. Katipamula and M. R. Brambley, "Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems-A Review, Part II," HVACR Res., vol. 11, no. 2, pp. 169-187, Apr. 2005.
    • (2005) HVACR Res. , vol.11 , Issue.2 , pp. 169-187
    • Katipamula, S.1    Brambley, M.R.2
  • 10
    • 84873850879 scopus 로고    scopus 로고
    • Power monitoring system for university buildings: Architecture and advanced analysis tools
    • Apr.
    • M. Domínguez, J. J. Fuertes, S. Alonso, M. A. Prada, A. Morán, and P. Barrientos, "Power monitoring system for university buildings: Architecture and advanced analysis tools," Energy Build., vol. 59, pp. 152-160, Apr. 2013.
    • (2013) Energy Build , vol.59 , pp. 152-160
    • Domínguez, M.1    Fuertes, J.J.2    Alonso, S.3    Prada, M.A.4    Morán, A.5    Barrientos, P.6
  • 11
    • 18944407569 scopus 로고    scopus 로고
    • An electric energy consumer characterization framework based on data mining techniques
    • May
    • V. Figueiredo, F. Rodrigues, Z. Vale, and J. B. Gouveia, "An electric energy consumer characterization framework based on data mining techniques," IEEE Trans. Power Syst., vol. 20, no. 2, pp. 596-602, May 2005.
    • (2005) IEEE Trans. Power Syst. , vol.20 , Issue.2 , pp. 596-602
    • Figueiredo, V.1    Rodrigues, F.2    Vale, Z.3    Gouveia, J.B.4
  • 12
    • 84855235584 scopus 로고    scopus 로고
    • Identifying important variables of energy use in low energy office building by using multivariate analysis
    • Feb.
    • N. Djuric and V. Novakovic, "Identifying important variables of energy use in low energy office building by using multivariate analysis," Energy Build., vol. 45, pp. 91-98, Feb. 2012.
    • (2012) Energy Build , vol.45 , pp. 91-98
    • Djuric, N.1    Novakovic, V.2
  • 13
    • 6344282792 scopus 로고    scopus 로고
    • Pattern recognition algorithm for determining days of the week with similar energy consumption profiles
    • Feb.
    • J. E. Seem, "Pattern recognition algorithm for determining days of the week with similar energy consumption profiles," Energy Build., vol. 37, no. 2, pp. 127-139, Feb. 2005.
    • (2005) Energy Build , vol.37 , Issue.2 , pp. 127-139
    • Seem, J.E.1
  • 14
    • 37849186514 scopus 로고    scopus 로고
    • Using intelligent data analysis to detect abnormal energy consumption in buildings
    • Jan.
    • J. E. Seem, "Using intelligent data analysis to detect abnormal energy consumption in buildings," Energy Build., vol. 39, no. 1, pp. 52-58, Jan. 2007.
    • (2007) Energy Build , vol.39 , Issue.1 , pp. 52-58
    • Seem, J.E.1
  • 15
    • 44349159091 scopus 로고    scopus 로고
    • Clustering-based performance optimization of the boiler-turbine system
    • Jun.
    • A. Kusiak and Z. Song, "Clustering-Based Performance Optimization of the Boiler-Turbine System," IEEE Trans. Energy Convers., vol. 23, no. 2, pp. 651-658, Jun. 2008.
    • (2008) IEEE Trans. Energy Convers , vol.23 , Issue.2 , pp. 651-658
    • Kusiak, A.1    Song, Z.2
  • 16
    • 84909945861 scopus 로고    scopus 로고
    • Classification of commercial building electrical demand profiles for energy storage applications
    • Jun.
    • A. R. Florita, L. J. Brackney, T. P. Otanicar, and J. Robertson, "Classification of Commercial Building Electrical Demand Profiles for Energy Storage Applications," J. Sol. Energy Eng., vol. 135, no. 3, pp. 031020-031020, Jun. 2013.
    • (2013) J. Sol. Energy Eng. , vol.135 , Issue.3 , pp. 031020
    • Florita, A.R.1    Brackney, L.J.2    Otanicar, T.P.3    Robertson, J.4
  • 17
    • 14844285758 scopus 로고    scopus 로고
    • Exact indexing of dynamic time warping
    • May
    • E. Keogh and C. A. Ratanamahatana, "Exact indexing of dynamic time warping," Knowl. Inf. Syst., vol. 7, no. 3, pp. 358-386, May 2004.
    • (2004) Knowl. Inf. Syst. , vol.7 , Issue.3 , pp. 358-386
    • Keogh, E.1    Ratanamahatana, C.A.2
  • 18
    • 84930193548 scopus 로고    scopus 로고
    • Efficient scale and rotation invariant encoding of visual words for image classification
    • Oct.
    • H. Anwar, S. Zambanini, and M. Kampel, "Efficient Scale and Rotation Invariant Encoding of Visual Words for Image Classification," IEEE Signal Process. Lett., vol. 22, no. 10, pp. 1762-1765, Oct. 2015.
    • (2015) IEEE Signal Process. Lett. , vol.22 , Issue.10 , pp. 1762-1765
    • Anwar, H.1    Zambanini, S.2    Kampel, M.3
  • 19
    • 34548093287 scopus 로고    scopus 로고
    • Experiencing SAX: A novel symbolic representation of time series
    • Apr.
    • J. Lin, E. Keogh, L. Wei, and S. Lonardi, "Experiencing SAX: a novel symbolic representation of time series," Data Min. Knowl. Discov., vol. 15, no. 2, pp. 107-144, Apr. 2007.
    • (2007) Data Min. Knowl. Discov. , vol.15 , Issue.2 , pp. 107-144
    • Lin, J.1    Keogh, E.2    Wei, L.3    Lonardi, S.4
  • 22
    • 84950258161 scopus 로고    scopus 로고
    • Sanitation and analysis of operation data in energy systems
    • Nov.
    • G. Zucker, U. Habib, M. Blöchle, F. Judex, and T. Leber, "Sanitation and Analysis of Operation Data in Energy Systems," Energies, vol. 8, no. 11, pp. 12776-12794, Nov. 2015.
    • (2015) Energies , vol.8 , Issue.11 , pp. 12776-12794
    • Zucker, G.1    Habib, U.2    Blöchle, M.3    Judex, F.4    Leber, T.5
  • 26
    • 0041564118 scopus 로고    scopus 로고
    • Trigeneration: An alternative for energy savings
    • Sep.
    • Joel Hernández-Santoyo and A. Sánchez-Cifuentes, "Trigeneration: an alternative for energy savings," Appl. Energy, vol. 76, no. 1-3, pp. 219-227, Sep. 2003.
    • (2003) Appl. Energy , vol.76 , Issue.1-3 , pp. 219-227
    • Hernández-Santoyo, J.1    Sánchez-Cifuentes, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.