top of page

[1]        I. P. Panapakidis, M. C. Alexiadis, and G. K. Papagiannis, "Load profiling in the deregulated electricity markets: A review of the applications," in European Energy Market (EEM), 2012 9th International Conference on the, 2012, pp. 1-8.

 

[2]        R. Bidarra, "Determinação de perfis de consumo baseada em mapas de Kohonen Modificados," Mestrado, Engenharia Eletrotécnica e de Computadores, Faculdade de Engenharia da Universidade do Porto, 2012.

 

[3]        S. Ramos, Z. Vale, J. Santana, and F. Rodrigues, "Use of Data Mining Techniques to Characterize MV Consumers and to Support Consumer Supplier Relationship " in 6th WSEAS International Conference on Power Systems, 2006.

 

[4]        G. Chicco, R. Napoli, P. Postolache, M. Scutariu, and C. Toader, "Customer characterization options for improving the tariff offer," Power Systems, IEEE Transactions on, vol. 18, pp. 381-387, 2003.

 

[5]        H. Yong-hao, K. Chong-qing, X. Qing, D. Bai-qing, M. Yuan-jing, H. Nan-Qiang, et al., "Study on consumer classification differentiated pricing of electricity. Electric Power," 2004.

 

[6]        R. Lamedica, A. Prudenzi, M. Sforna, M. Caciotta, and V. O. Cencellli, "A neural network based technique for short-term forecasting of anomalous load periods," Power Systems, IEEE Transactions on, vol. 11, pp. 1749-1756, 1996.

 

[7]        M. Misiti, Y. Misiti, G. Oppenheim, and J.-M. Poggi, "OPTIMIZED CLUSTERS FOR DISAGGREGATED ELECTRICITY LOAD FORECASTING - Optimized Clusters for Disaggregated Electricity Load Forecasting," REVSTAT, 2010.

 

[8]        W. Li and Z.-h. Han, "Short-Term Power Load Forecasting Using Improved Ant Colony Clustering," in Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on, 2008, pp. 221-224.

 

[9]        G. Chicco, R. Napoli, and F. Piglione, "Load pattern clustering for short-term load forecasting of anomalous days," in Power Tech Proceedings, 2001 IEEE Porto, 2001, p. 6 pp. vol.2.

 

[10]      X. Zhang and C. Sun, "Dynamic intelligent cleaning model of dirty electric load data," Energy Conversion and Management, vol. 49, pp. 564-569, 4// 2008.

 

[11]      W. BS, D. ZQ, and Z. DH, "Application of k-means algorithm based on effective index to identifying bad data of the power system," Northeast Electric Power Technology, 2010.

 

[12]      G. Chicco, "Overview and performance assessment of the clustering methods for electrical load pattern grouping," Energy, vol. 42, pp. 68-80, 6// 2012.

 

[13]      V. Figueiredo, "Caracterização de Consumos de Energia Elétrica usando Técnicas de Data Mining," Engenharia Eletrotécnica e de Computadores, Universidade do Porto, 2003.

 

[14]      M. Castro, "Agrupamento – “Clustering”," Engenharia Informática, Instituto Superior de Engenharia do Porto, 2003.

 

[15]      Z. Zakaria and K. L. Lo, "Two-stage fuzzy clustering approach for load profiling," in Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International, 2009, pp. 1-5.

 

[16]      Z. KL and Y. SL, An improved fuzzy c-means algorithm for power load characteristics classification. Power System Protection and Control vol. 40 (22), 2012.

 

[17]      D. King and C. S. Özveren, "A Review of Electricity Load Profile Classification Methods," in Proceedings of the 42nd Universities Power Engineering Conference, 2007.

 

[18]      K.-l. Zhou, S.-l. Yang, and C. Shen, "A review of electric load classification in smart grid environment," Renewable and Sustainable Energy Reviews, vol. 24, pp. 103-110, 8// 2013.

 

[19]      M. Marques, "Caracterização da Contribuição dos Consumidores BT para as Perdas na Rede," Engenharia Eletrotécnica e de Computadores, Universidade do Porto, 2005.

 

[20]      J. J. López, J. A. Aguado, F. Martín, F. Muñoz, A. Rodríguez, and J. E. Ruiz, "Hopfield–K-Means clustering algorithm: A proposal for the segmentation of electricity customers," Electric Power Systems Research, vol. 81, pp. 716-724, 2// 2011.

 

[21]      L. Li, W. Gang, and Z. Deng-hui, "Application of k-means clustering algorithm in load curve classification.," in Power System Protection and Control, ed, 2011.

 

[22]      G. Chicco, R. Napoli, and F. Piglione, "Application of clustering algorithms and self organising maps to classify electricity customers," in Power Tech Conference Proceedings, 2003 IEEE Bologna, 2003, p. 7 pp. Vol.1.

 

[23]      J. A. Hartigan and M. A. Wong, "A K-Means Clustering Algorithm," Journal of the Royal Statistical Society, vol. 28, pp. 100-108, 1979.

 

[24]      T. Kohonen, Self-Organization and Associative Memory, 3rd ed.: Springer-Verlag New York, 1989.

 

[25]      S. V. Verdu, M. O. Garcia, C. Senabre, A. G. Marin, and F. J. G. Franco, "Classification, Filtering, and Identification of Electrical Customer Load Patterns Through the Use of Self-Organizing Maps," Power Systems, IEEE Transactions on, vol. 21, pp. 1672-1682, 2006.

 

[26]      Y. In Hyeob, L. Jin Ki, K. Jong Min, and K. Sun Ic, "A method for classification of electricity demands using load profile data," in Computer and Information Science, 2005. Fourth Annual ACIS International Conference on, 2005, pp. 164-168.

 

[27]      A. K. Jain and R. C. Dubes, Algorithms for Clustering Data: Michigan State University, 1988.

 

bottom of page