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Volumn , Issue , 2011, Pages 747-758

Unsupervised disaggregation of low frequency power measurements

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; HIDDEN MARKOV MODELS;

EID: 84880115596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972818.64     Document Type: Conference Paper
Times cited : (550)

References (49)
  • 1
    • 28244486115 scopus 로고    scopus 로고
    • A review of intervention studies aimed at household energy conservation
    • A. Abrahamse, L. Steg, C. Vlek, and T. Rothengatter. A review of intervention studies aimed at household energy conservation. Environmental Psychology, 25:273-291, 2005.
    • (2005) Environmental Psychology , vol.25 , pp. 273-291
    • Abrahamse, A.1    Steg, L.2    Vlek, C.3    Rothengatter, T.4
  • 2
    • 0003759607 scopus 로고    scopus 로고
    • 2010
    • U. E. I. Administration. Electric power annual 2008. http://www.eia.doe. gov/cneaf/electricity/epa/epaxlfilees1.pdf, 2010.
    • (2008) Electric Power Annual
  • 3
    • 84880104685 scopus 로고    scopus 로고
    • U. E. I. Administration. Electricity faq. http://www.eia.doe.gov/ask/ electricity-faqs.asp, 2010.
    • (2010) Electricity Faq
  • 5
    • 0000625248 scopus 로고
    • Joint effect of feedback and goal setting on performance: A field study of residential energy conservation
    • L. Becker. Joint effect of feedback and goal setting on performance: a field study of residential energy conservation. J. of Applied Psychology, 63(4):428-433, 1977.
    • (1977) J. of Applied Psychology , vol.63 , Issue.4 , pp. 428-433
    • Becker, L.1
  • 6
    • 0030685285 scopus 로고    scopus 로고
    • Coupled hidden Markov models for complex action recognition
    • IEEE Computer Society Conference on
    • M. Brand, N. Oliver, and A. Pentland. Coupled hidden markov models for complex action recognition. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pages 994-999, 1997.
    • (1997) Computer Vision and Pattern Recognition , pp. 994-999
    • Brand, M.1    Oliver, N.2    Pentland, A.3
  • 7
    • 0033092765 scopus 로고    scopus 로고
    • Reducing household energy consumption: A qualitative and quantitative field study
    • G. Brandon and A. Lewis. Reducing household energy consumption: a qualitative and quantitative field study. Environmental Psychology, 19:75-85, 1999.
    • (1999) Environmental Psychology , vol.19 , pp. 75-85
    • Brandon, G.1    Lewis, A.2
  • 8
    • 59249093668 scopus 로고    scopus 로고
    • Getting to green: Understanding resource consumption in the home
    • Seoul, Korea
    • M. Chetty, D. Tran, and R. Grinter. Getting to green: understanding resource consumption in the home. In UbiComp, Seoul, Korea, 2008.
    • (2008) UbiComp
    • Chetty, M.1    Tran, D.2    Grinter, R.3
  • 9
    • 0014599202 scopus 로고
    • Maximum likelihood estimation of the parameters of the gamma distribution and their bias
    • S. C. Choi and R. Wette. Maximum likelihood estimation of the parameters of the gamma distribution and their bias. Technometrics, 11(4):683-690, 1969.
    • (1969) Technometrics , vol.11 , Issue.4 , pp. 683-690
    • Choi, S.C.1    Wette, R.2
  • 11
    • 0033343493 scopus 로고    scopus 로고
    • Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end uses
    • L. Farinaccio and R. Zmeureanu. Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end uses. Energy and Buildings, 30:245-259, 1999.
    • (1999) Energy and Buildings , vol.30 , pp. 245-259
    • Farinaccio, L.1    Zmeureanu, R.2
  • 13
    • 84880086581 scopus 로고
    • New meter helps buyer save energy
    • R. Fitch. New meter helps buyer save energy. House and Home, 51(5):58, 1977.
    • (1977) House and Home , vol.51 , Issue.5 , pp. 58
    • Fitch, R.1
  • 14
    • 51349139960 scopus 로고    scopus 로고
    • The short list: The most effective actions U.S. households can take to curb climate change
    • G. Gardner and P. Stern. The short list: the most effective actions U.S. households can take to curb climate change. Environment Magazine, 2008.
    • (2008) Environment Magazine
    • Gardner, G.1    Stern, P.2
  • 16
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • Z. Ghahramani and M. I. Jordan. Factorial hidden markov models. Machine Learning, 29:245-273, 1997.
    • (1997) Machine Learning , vol.29 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.I.2
  • 17
    • 0026970695 scopus 로고
    • Nonintrusive appliance load monitoring
    • G. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80(2):1870-1891, 1992.
    • (1992) Proceedings of the IEEE , vol.80 , Issue.2 , pp. 1870-1891
    • Hart, G.1
  • 18
    • 0041903189 scopus 로고
    • Reduction of residential consumption of electricity through simple monthly feedback
    • S. Hayes and J. Cone. Reduction of residential consumption of electricity through simple monthly feedback. Applied Behavior Analysis, 14(1):81-88, 1981.
    • (1981) Applied Behavior Analysis , vol.14 , Issue.1 , pp. 81-88
    • Hayes, S.1    Cone, J.2
  • 19
    • 0002541988 scopus 로고
    • The effect of goal-setting and daily electronic feedback on in-home energy use
    • J. V. Houwelingen and F. V. Raaij. The effect of goal-setting and daily electronic feedback on in-home energy use. Consumer Research, 16:98-105, 1989.
    • (1989) Consumer Research , vol.16 , pp. 98-105
    • Houwelingen, J.V.1    Raaij, F.V.2
  • 23
    • 0028530990 scopus 로고
    • The consumer's energy analysis environment
    • W. Kempton and L. Layne. The consumer's energy analysis environment. Energy Policy, 22(10):857-866, 1994.
    • (1994) Energy Policy , vol.22 , Issue.10 , pp. 857-866
    • Kempton, W.1    Layne, L.2
  • 24
    • 77954471793 scopus 로고    scopus 로고
    • Viridiscope: Design and implementation of a fine grained power monitoring system for homes
    • Orlando, FL
    • Y. Kim, T. Schmid, Z. Charbiwala, and M. Srivastava. Viridiscope: design and implementation of a fine grained power monitoring system for homes. In Ubi-Comp, Orlando, FL, 2009.
    • (2009) Ubi-Comp
    • Kim, Y.1    Schmid, T.2    Charbiwala, Z.3    Srivastava, M.4
  • 25
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220(4598): pp. 671-680, 1983.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 26
    • 84980278964 scopus 로고
    • A behavioral analysis of peaking in residential electrical-energy consumers
    • R. Kohlenberg, T. Phillips, and W. Proctor. A behavioral analysis of peaking in residential electrical-energy consumers. Applied Behavior Analysis, 9(1):13-18, 1976.
    • (1976) Applied Behavior Analysis , vol.9 , Issue.1 , pp. 13-18
    • Kohlenberg, R.1    Phillips, T.2    Proctor, W.3
  • 29
    • 0022685753 scopus 로고
    • Continuously variable duration hidden Markov models for automatic speech recognition
    • S. Levinson. Continuously variable duration hidden markov models for automatic speech recognition. Computer Speech and Language, 1(1):29 - 45, 1986.
    • (1986) Computer Speech and Language , vol.1 , Issue.1 , pp. 29-45
    • Levinson, S.1
  • 30
  • 31
    • 77954496984 scopus 로고    scopus 로고
    • Automatically disaggregating the total electrical load in residential buildings: A profile of the required solution
    • Plymouth, UK
    • H. Matthews, L. Soibelman, M. Berges, and E. Goldman. Automatically disaggregating the total electrical load in residential buildings: a profile of the required solution. In Intelligent Computing in Engineering, Plymouth, UK, 2008.
    • (2008) Intelligent Computing in Engineering
    • Matthews, H.1    Soibelman, L.2    Berges, M.3    Goldman, E.4
  • 32
    • 0029724262 scopus 로고    scopus 로고
    • Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algoritms
    • L. Norford and S. Leeb. Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algoritms. Energy and Buildings, 24:51-64, 1996.
    • (1996) Energy and Buildings , vol.24 , pp. 51-64
    • Norford, L.1    Leeb, S.2
  • 33
    • 77953976683 scopus 로고    scopus 로고
    • The design and evaluation of an end-user-deployable, whole house, contactless power consumption sensor
    • Atlanta, GA
    • S. Patel, S. Gupta, and M. Reynolds. The design and evaluation of an end-user-deployable, whole house, contactless power consumption sensor. In Human factors in computing systems, Atlanta, GA, 2010.
    • (2010) Human Factors in Computing Systems
    • Patel, S.1    Gupta, S.2    Reynolds, M.3
  • 34
    • 44649126922 scopus 로고    scopus 로고
    • At the flick of a switch: Detecting and classifying unique electrical events on the residential power line
    • Innsbruck, Austria
    • S. Patel, T. Robertson, J. Kientz, M. Reynolds, and G. Abowd. At the flick of a switch: detecting and classifying unique electrical events on the residential power line. In UbiComp, Innsbruck, Austria, 2007.
    • (2007) UbiComp
    • Patel, S.1    Robertson, T.2    Kientz, J.3    Reynolds, M.4    Abowd, G.5
  • 35
    • 0036085718 scopus 로고    scopus 로고
    • A neuron nets based procedure for identifying domestic appliances pattern-of-use from energy recordings at meter panel
    • A. Prudenzi. A neuron nets based procedure for identifying domestic appliances pattern-of-use from energy recordings at meter panel. IEEE Power Engineering Society Winter Meeting, 2:491-496, 2002.
    • (2002) IEEE Power Engineering Society Winter Meeting , vol.2 , pp. 491-496
    • Prudenzi, A.1
  • 36
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • L. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.1
  • 38
    • 0000783940 scopus 로고
    • Complexities of household energy consumption and conservation
    • B. Ritchie, G. McDougall, and J. Claxton. Complexities of household energy consumption and conservation. Consumer Research, 8(3):233-242, 1981.
    • (1981) Consumer Research , vol.8 , Issue.3 , pp. 233-242
    • Ritchie, B.1    McDougall, G.2    Claxton, J.3
  • 41
    • 58149409999 scopus 로고
    • Feedback as a means of decreasing residential energy consumption
    • C. Seligman and J. Darley. Feedback as a means of decreasing residential energy consumption. Applied Psychology, 62(4):363-368, 1977.
    • (1977) Applied Psychology , vol.62 , Issue.4 , pp. 363-368
    • Seligman, C.1    Darley, J.2
  • 43
    • 0010733202 scopus 로고
    • Consumer response to continuous-display electricity-use monitors in a time-of-use pricing experiment
    • R. Sexton, N. Johnson, and A. Konakayama. Consumer response to continuous-display electricity-use monitors in a time-of-use pricing experiment. Consumer Research, 14(1):55-62, 1987.
    • (1987) Consumer Research , vol.14 , Issue.1 , pp. 55-62
    • Sexton, R.1    Johnson, N.2    Konakayama, A.3
  • 44
    • 0000971202 scopus 로고
    • What psychology knows about energy conservation
    • P. Stern. What psychology knows about energy conservation. American Physchologist, 47(10):1224-1232, 1992.
    • (1992) American Physchologist , vol.47 , Issue.10 , pp. 1224-1232
    • Stern, P.1
  • 46
    • 27944478484 scopus 로고    scopus 로고
    • Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data
    • T. Ueno, F. Sano, O. Saeki, and K. Tsuji. Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data. Applied Energy, 83:166-183, 2006.
    • (2006) Applied Energy , vol.83 , pp. 166-183
    • Ueno, T.1    Sano, F.2    Saeki, O.3    Tsuji, K.4
  • 47
  • 49
    • 79960093842 scopus 로고    scopus 로고
    • Discovery of application workloads from network file traces
    • San Jose, CA
    • N. Yadwadkar, C. Bhattacharyya, and K. Gopinath. Discovery of application workloads from network file traces. In USENIX FAST, San Jose, CA, 2010.
    • (2010) USENIX FAST
    • Yadwadkar, N.1    Bhattacharyya, C.2    Gopinath, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.