A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector

International Journal of Electrical Power and Energy Systems

Volumn 53, Issue , 2013, Pages 824-831

  Ferreira, Adonias M S ^a   Cavalcante, Carlos A M T ^a   Fontes, Cristiano H O ^a   Marambio, Jorge E S ^b  

^a FEDERAL UNIVERSITY OF BAHIA   (Brazil)

^b Ed Salvador Trade Center   (Brazil)

Author keywords

Clustering; Electric sector; Load profiles; Pattern recognition

Indexed keywords

CLUSTERING; CONSUMPTION PATTERNS; ELECTRIC SECTOR; ELECTRICITY SECTOR; ENERGY EFFICIENCY PROGRAMS; ESSENTIAL FEATURES; LOAD PROFILES; TIME SERIES CLUSTERING;

DECISION MAKING; ELECTRIC INDUSTRY; ENERGY EFFICIENCY; SOFTWARE TESTING;

PATTERN RECOGNITION;

EID: 84879827374     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.06.001     Document Type: Article

References (33)

1. Nabeel I, Tawalbeh A. Daily load profile and monthly power peaks evaluation of the urban substation of the capital of Jordan Amman. Int J Electr Power Energy Syst vol. 37, 1, p. 95-102.
2. G.J. Tsekouras, M.A. Tsaroucha, C.D. Tsirekis, A.D. Salis, E.N. Dialynas, and N.D. Hatziargyriou A database system for power systems customers and energy efficiency programs Int J Electr Power Energy Syst 33 6 2011 1220 1228
3. Patricia R.S. Jota, Valéria R.B. Silva, and Fábio G. Jota Building load management using cluster and statistical analyses Int J Electr Power Energy Syst 33 8 2011 1498 1505
4. Iñigo Monedero, Félix Biscarri, Carlos León, Juan I. Guerrero, Jesús Biscarri, and Rocío Millán Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees Int J Electr Power Energy Syst 34 1 2012 90 99
5. J.K. Lin, S.K. Tso, H.K. Ho, C.M. Mak, K.M. Yung, and Y.K. Ho Study of climatic effects on peak load and regional similarity of load profiles following disturbances based on data mining Int J Electr Power Energy Syst 28 3 2006 177 185 (Pubitemid 43243239)
6. G. Piatetsky Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from "universty" to "business" and "analystics'' Data Min Knowled Discov 15 2007 99 105
7. D. Gerbec, S. Gasperic, I. Smon, and F. Gubina A methodology to classify distribution load profiles Presente dat the IEEE 2002 848 851
8. A.K. Jain, M.N. Murty, and P.J. Flynn Data clustering: a review ACM Comput Surv 31 3 1999 264 323
9. Geminagnani MMF, Oliveira CCB, Tahan CMV. Proposition and comparative analysis of alternative selection and classification of load curve for defining types for tariff studies. Décimo Tercer Encuentro Reginal Iberoamericano de Cigré - XIII ERIAC; 2009. p. 1-6.
10. W. Zalewski Aplication of fuzzy inference to electric load clustering 2006 IEEE International Conference on Power Systems New Delhi p. 1-5
11. Nizar AH, Dong ZY, Zhao JH. Load profiling and data mining techniques in electricity deregulated market. In: Presented at the IEEE power engineering society (PES) general meeting 2006, Montreal, Quebec, Canada; June 2006. p. 1-7.
12. Han J, Pei J, Yiwen Y. Mining frequent patterns without candidate generation. In: Proceedings ACM-SIGMOD international conference on management of data. ACM Press; 2000. p. 1-12.
13. Daswin Silva, and Xinghuo Yu A data mining framework for electricity consumption analysis from meter data IEEE Trans Indust Inf 7 3 2011 399 407
14. D. Gerbec, S. Gasperic, I. Smon, and F. Gubina Determining the load profiles of consumers based on fuzzy logic and probability neural networks IEEE Proc Gener Transm Distrib 151 3 2004 395 400
15. Zuhaina Zakaria, Lo KL, Hadi Mohamad Sohod. Application of fuzzy clustering to determine electricity consumers' load profiles first international power and energy conference. Putrajaya, Malaysia; 2006. p. 99-103.
16. Anuar N, Zakaria Z. Cluster validity analysis for electricity load profiling. In: IEEE international conference on power and energy. Kuala Lumpur Malaysia; 2010. p. 35-8.
17. Arthur Henrique Cursino dos Santos, Murilo Tadeu Werneck Fagá, and Edmilson Moutinho dos Santos The risks of an energy efficiency policy for buildings based solely on the consumption evaluation of final energy Int J Electr Power Energy Syst 44 1 2013 70 77
18. Anssi Seppãlã. Statistical distribution of customer load profile. IEEE, CATALOGUE No. 95TH8130;1995. p. 696-701.
19. Nazarko Joanicjusz, and Zbigniew A. Styczynski Application of statistical and neural approaches to the daily load profiles modeling in power distribution systems IEEE 1999 320 325
20. Janes Joseph Categorical relationships: chi-square Library Hi Technol 19 3 2001 296 298
21. T.W. O'Gorman A comparison of an adaptive two-sample test to the t-test, rank-sum, and log-rank tests Commun Statis - Simul Comput 26 1997 1393 1411 (Pubitemid 127449307)
22. D.A.I.G.O. Motomasa Factor analysis and pattern decomposition method SPIE 6043 604317 2005 1 8 53-65
23. Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, and Wu Anqi Dynamic time warping constraint learning for large margin nearest neighbor classification Inf Sci 181 2011 2787 2796
24. Chiu S. A cluster estimation method with extension to fuzzy model identification. In: Proceedings of the third IEEE conference on fuzzy systems, vol. 2, Orlando - Florida, USA; 1994. p. 1240-5.
25. P.J. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis J Comput Appl Math 20 1987 53 65
26. International performance measurement & verification protocol - IPMV; 2007.
27. M. Hubert, and E. Vandervieren An adjusted boxplot for skewed distributions Comput Stat Data Anal 52 2008 5186 5201
28. Bezdek James C, Keller James, Krisnapuram Raghu, PAL Nikhil R. Fuzzy models and algorithms for pattern recognition and image processing. Springer Science+Businees Media, Inc.; 2005.
29. A. Bensaid, L.O. Hall, James C. Bezdek, and L.P. Clarke Partially supervised clustering for image segmentation Patt Recogn 29 5 1996 859 887
30. T. Warren Liao Clustering of time series data-a survey Patt Recogn 38 11 2005 1857 1874 (Pubitemid 41214630)
31. R.E. Abdel-Aal Modeling and forecasting electric daily peak loads using abductive networks Int J Electr Power Energy Syst 28 2 2006 133 141 (Pubitemid 43210376)
32. L.M. Saini, and M.K. Soni Artificial neural network-based peak load forecast tingusing conjugate gradient methods IEEE Trans Power Syst 17 2002 907 912 (Pubitemid 35151775)
33. Sanjeev Kumar Aggarwal, Lalit Mohan Saini, and Kumar Ashwani Electricity price forecasting in deregulated markets: a review and evaluation Electr Power Energy Syst 31 2009 13 22