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Volumn 8, Issue 7, 2015, Pages 7407-7427

Data mining techniques for detecting household characteristics based on smart meter data

Author keywords

Data mining; Energy usage patterns; Smart home; Smart metering; Users' behaviors

Indexed keywords

AUTOMATION; DATA MINING; DOMESTIC APPLIANCES; ELECTRIC MEASURING INSTRUMENTS; ENERGY CONSERVATION; ENERGY UTILIZATION; INTELLIGENT BUILDINGS; LEARNING SYSTEMS;

EID: 84939132290     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en8077407     Document Type: Article
Times cited : (61)

References (43)
  • 1
    • 84920726097 scopus 로고    scopus 로고
    • Revealing Household Characteristics from Smart Meter Data
    • Beckel, C.; Sadamoria, L.; Staake, T.; Santini, S. Revealing Household Characteristics from Smart Meter Data. Energy 2014, 78, 397-410.
    • (2014) Energy , vol.78 , pp. 397-410
    • Beckel, C.1    Sadamoria, L.2    Staake, T.3    Santini, S.4
  • 2
    • 84867473621 scopus 로고    scopus 로고
    • Understanding domestic energy consumption through interactive visualisation: A field study
    • UbiComp '12, New York, NY, USA, 5-8 September
    • Costanza, E.; Ramchurn, S.D.; Jennings, N.R. Understanding domestic energy consumption through interactive visualisation: A field study. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp '12, New York, NY, USA, 5-8 September 2012; pp. 216-225.
    • (2012) Proceedings of the 2012 ACM Conference on Ubiquitous Computing , pp. 216-225
    • Costanza, E.1    Ramchurn, S.D.2    Jennings, N.R.3
  • 3
    • 28244486115 scopus 로고    scopus 로고
    • A review of intervention studies aimed at household energy conservation
    • Abrahamse, W.; Steg, L.; Vlek, C.; Rothengatter, T. A review of intervention studies aimed at household energy conservation. J. Environ. Psychol. 2005, 25, 273-291.
    • (2005) J. Environ. Psychol , vol.25 , pp. 273-291
    • Abrahamse, W.1    Steg, L.2    Vlek, C.3    Rothengatter, T.4
  • 4
    • 59249093668 scopus 로고    scopus 로고
    • Getting to Green: Understanding Resource Consumption in the Home
    • Seoul, Korea, 21-24 September
    • Chetty, M.; Tran, D.; Grinter, R. Getting to Green: Understanding Resource Consumption in the Home. In Proceedings of the Ubicomp '08, Seoul, Korea, 21-24 September 2008; pp. 242-251.
    • (2008) Proceedings of the Ubicomp '08 , pp. 242-251
    • Chetty, M.1    Tran, D.2    Grinter, R.3
  • 5
    • 77953979542 scopus 로고    scopus 로고
    • The design of eco-feedback technology
    • Atlanta, GA, USA, 10-15 April
    • Froehlich, J.; Findlater, L.; Landay, J. The design of eco-feedback technology. In Proceedings of the CHI '10, Atlanta, GA, USA, 10-15 April 2010; pp. 1999-2008.
    • (2010) Proceedings of the CHI '10 , pp. 1999-2008
    • Froehlich, J.1    Findlater, L.2    Landay, J.3
  • 6
    • 70049117040 scopus 로고    scopus 로고
    • Feedback on household electricity consumption: A tool for saving energy?
    • Fischer, C. Feedback on household electricity consumption: A tool for saving energy? Energy Effic. 2008, 1, 79-104.
    • (2008) Energy Effic , vol.1 , pp. 79-104
    • Fischer, C.1
  • 7
    • 70350344840 scopus 로고    scopus 로고
    • Technology-enabled feedback on domestic energy consumption: articulating a set of design concerns
    • Fitzpatrick, G.; Smith, G. Technology-enabled feedback on domestic energy consumption: articulating a set of design concerns. IEEE Pervasive Comput. 2009, 8, 37-44.
    • (2009) IEEE Pervasive Comput , vol.8 , pp. 37-44
    • Fitzpatrick, G.1    Smith, G.2
  • 8
    • 84912150730 scopus 로고    scopus 로고
    • A system for collecting activity annotations for home energy management
    • Rollins, S.; Banerjee, N.; Choudhury, L.; Lachut, D. A system for collecting activity annotations for home energy management. Pervasive Mob. Comput. 2014, 15, 153-165.
    • (2014) Pervasive Mob. Comput , vol.15 , pp. 153-165
    • Rollins, S.1    Banerjee, N.2    Choudhury, L.3    Lachut, D.4
  • 9
    • 84869144602 scopus 로고    scopus 로고
    • The power-aware cord: energy awareness through ambient information display
    • Portland, OR, USA, 2-7 April
    • Gustafsson, A.; Gyllensward, M. The power-aware cord: energy awareness through ambient information display. In Proceedings of the CHI EA '05, Portland, OR, USA, 2-7 April 2005; pp. 1423-1426.
    • (2005) Proceedings of the CHI EA '05 , pp. 1423-1426
    • Gustafsson, A.1    Gyllensward, M.2
  • 10
    • 80955157791 scopus 로고    scopus 로고
    • Exploring ambient and artistic visualization for residential energy use feedback
    • Rodgers, J.; Bartram, L. Exploring ambient and artistic visualization for residential energy use feedback. IEEE Trans. Vis. Comput. Graph. 2011, 17, 2489-2497.
    • (2011) IEEE Trans. Vis. Comput. Graph , vol.17 , pp. 2489-2497
    • Rodgers, J.1    Bartram, L.2
  • 11
    • 38549157246 scopus 로고    scopus 로고
    • Identifying trends in the use of domestic appliances from household electricity consumption measurements
    • Firth, S.; Lomas, K.; Wright, A.; Wall, R. Identifying trends in the use of domestic appliances from household electricity consumption measurements. Energy Build. 2008, 40, 926-936.
    • (2008) Energy Build , vol.40 , pp. 926-936
    • Firth, S.1    Lomas, K.2    Wright, A.3    Wall, R.4
  • 12
    • 84870733146 scopus 로고    scopus 로고
    • Non-intrusive demand monitoring and load identification for energy management systems based on transient feature analyses
    • Chang, H.H. Non-intrusive demand monitoring and load identification for energy management systems based on transient feature analyses. Energies 2012, 5, 4569-4589.
    • (2012) Energies , vol.5 , pp. 4569-4589
    • Chang, H.H.1
  • 18
    • 84861688089 scopus 로고    scopus 로고
    • Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting
    • Javed, F.; Arshad, N.; Wallin, F.; Vassileva, I.; Dahlquist, E. Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting. Appl. Energy 2012, 69, 151-160.
    • (2012) Appl. Energy , vol.69 , pp. 151-160
    • Javed, F.1    Arshad, N.2    Wallin, F.3    Vassileva, I.4    Dahlquist, E.5
  • 19
    • 84924119292 scopus 로고    scopus 로고
    • Short term electricity forecasting using individual smart meter data
    • Gajowniczek, K.; Ząbkowski, T. Short term electricity forecasting using individual smart meter data. Procedia Comput. Sci. 2014, 35, 589-597.
    • (2014) Procedia Comput. Sci , vol.35 , pp. 589-597
    • Gajowniczek, K.1    Zabkowski, T.2
  • 20
    • 84939169270 scopus 로고    scopus 로고
    • Forecasting of individual electricity usage using smart meter data
    • Zabkowski, T.; Gajowniczek, K. Forecasting of individual electricity usage using smart meter data. Quantitative Methods in Economics 2013, 14, 289-297.
    • (2013) Quantitative Methods in Economics , vol.14 , pp. 289-297
    • Zabkowski, T.1    Gajowniczek, K.2
  • 22
    • 38949125492 scopus 로고    scopus 로고
    • Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic energy use
    • Yohanis, Y.G.; Mondol, J.D.; Wright, A.; Norton, B. Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic energy use. Energy Build. 2008, 40, 1053-1059.
    • (2008) Energy Build , vol.40 , pp. 1053-1059
    • Yohanis, Y.G.1    Mondol, J.D.2    Wright, A.3    Norton, B.4
  • 23
    • 77958455430 scopus 로고    scopus 로고
    • Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors
    • Hargreaves, T.; Nye, M.; Burgess, J. Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors. Energy Policy 2010, 38, 6111-6119.
    • (2010) Energy Policy , vol.38 , pp. 6111-6119
    • Hargreaves, T.1    Nye, M.2    Burgess, J.3
  • 24
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward, J.H. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 1963, 58, 236-244.
    • (1963) J. Am. Stat. Assoc , vol.58 , pp. 236-244
    • Ward, J.H.1
  • 25
    • 0003126317 scopus 로고
    • A general theory of classificatory sorting strategies 1
    • Lance, G.N.; Williams, W.T. A general theory of classificatory sorting strategies 1. Hierarchical systems. Comput. J. 1967, 9, 373-380.
    • (1967) Hierarchical systems. Comput. J , vol.9 , pp. 373-380
    • Lance, G.N.1    Williams, W.T.2
  • 26
    • 0001457509 scopus 로고
    • Some Methods for classification and Analysis of Multivariate Observations
    • University of California Press: Berkeley, CA, USA
    • MacQueen, J.B. Some Methods for classification and Analysis of Multivariate Observations. In Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability; University of California Press: Berkeley, CA, USA, 1967; pp. 281-297.
    • (1967) Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability , pp. 281-297
    • MacQueen, J.B.1
  • 27
    • 0000071395 scopus 로고
    • Some distance properties of latent root and vector methods used in multivariate analysis
    • Gower, J.C. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 1966, 53, 325-328.
    • (1966) Biometrika , vol.53 , pp. 325-328
    • Gower, J.C.1
  • 28
    • 82455166726 scopus 로고
    • Some properties of classical multidimensional scaling
    • Mardia, K.V. Some properties of classical multidimensional scaling. Commun. Stat. Theory Methods 1978, A7, 1233-1241.
    • (1978) Commun. Stat. Theory Methods , vol.A7 , pp. 1233-1241
    • Mardia, K.V.1
  • 29
    • 0024196297 scopus 로고
    • An overview of mapping for exploratory pattern analysis
    • Siedlecki, W.; Siedlecka, K.; Sklanski, J. An overview of mapping for exploratory pattern analysis. Pattern Recognit. 1988, 21, 411-430.
    • (1988) Pattern Recognit , vol.21 , pp. 411-430
    • Siedlecki, W.1    Siedlecka, K.2    Sklanski, J.3
  • 32
    • 0042130181 scopus 로고
    • On the performance of a discriminant function
    • Szczesny, W. On the performance of a discriminant function. J. Classif. 1991, 8, 201-215.
    • (1991) J. Classif , vol.8 , pp. 201-215
    • Szczesny, W.1
  • 33
    • 84947727573 scopus 로고
    • How a New Statistical Infrastructure Induced a New Computing Trend in Data Analysis
    • L., Skowron, A., Eds.; Lecture Notes in Artificial Intelligence; Springer Verlag: Berlin, Germany, 1998; Volume
    • Ciok, A.; Kowalczyk, T.; Pleszczynska, E. How a New Statistical Infrastructure Induced a New Computing Trend in Data Analysis. In Rough Sets and Current Trends in Computing; Polkowski, L., Skowron, A., Eds.; Lecture Notes in Artificial Intelligence; Springer Verlag: Berlin, Germany, 1998; Volume 1424; pp. 75-82.
    • (1424) Rough Sets and Current Trends in Computing; Polkowski , pp. 75-82
    • Ciok, A.1    Kowalczyk, T.2    Pleszczynska, E.3
  • 34
    • 69849087691 scopus 로고    scopus 로고
    • Grade correspondence analysis applied to contingency tables and questionnaire data
    • Szczesny, W. Grade correspondence analysis applied to contingency tables and questionnaire data. Intell. Data Anal. 2002, 6, 17-51.
    • (2002) Intell. Data Anal , vol.6 , pp. 17-51
    • Szczesny, W.1
  • 35
    • 33845977550 scopus 로고    scopus 로고
    • Grade Models and Methods of Data Analysis
    • 1st ed.; Studies in Fuzziness and Soft Computing; Springer Verlag: Berlin, Germany; Heidelberg, Germany; New York, NY, USA
    • Kowalczyk, T.; Pleszczynska, E.; Ruland, F. Grade Models and Methods of Data Analysis. With applications for the Analysis of Data Population; 1st ed.; Studies in Fuzziness and Soft Computing; Springer Verlag: Berlin, Germany; Heidelberg, Germany; New York, NY, USA, 2004; Volume 151.
    • (2004) With applications for the Analysis of Data Population , vol.151
    • Kowalczyk, T.1    Pleszczynska, E.2    Ruland, F.3
  • 36
    • 85029861738 scopus 로고    scopus 로고
    • (accessed on 10 January 2015)
    • GradeStat-Program for Grade Data Analysis. Available online: http://www.gradestat.ipipan.waw.pl (accessed on 10 January 2015).
    • GradeStat-Program for Grade Data Analysis
  • 39
    • 0034826102 scopus 로고    scopus 로고
    • Spade: An efficient algorithm for mining frequent sequences
    • Zaki, M.J. Spade: An efficient algorithm for mining frequent sequences. Mach. Learn. 2001, 42, 31-60.
    • (2001) Mach. Learn , vol.42 , pp. 31-60
    • Zaki, M.J.1
  • 42
    • 84882774180 scopus 로고    scopus 로고
    • Balancing electric power in a microgrid via programmable agents auctions
    • Palka, P.; Radziszewska, W.; Nahorski, Z. Balancing electric power in a microgrid via programmable agents auctions. Control Cybern. 2012, 41, 777-797.
    • (2012) Control Cybern , vol.41 , pp. 777-797
    • Palka, P.1    Radziszewska, W.2    Nahorski, Z.3


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