论文信息 - Short-Term Electric Load Forecasting Based on Data Mining - 字舞流文

Short-Term Electric Load Forecasting Based on Data Mining

Dongxiao Niu | Han Wu | Zongyun Song

[1] Yunqian Ma,et al. Practical selection of SVM parameters and noise estimation for SVM regression , 2004, Neural Networks.

[2] S. Sathiya Keerthi,et al. Improvements to the SMO algorithm for SVM regression , 2000, IEEE Trans. Neural Networks Learn. Syst..

[3] Yong Cheol Kang,et al. Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method , 2000 .

[4] Meifang Zhao,et al. Application of artificial neural networks in global climate change and ecological research: An overview , 2010 .

[5] Hae-Sang Park,et al. A simple and fast algorithm for K-medoids clustering , 2009, Expert Syst. Appl..

[6] Weiguo Sheng,et al. A genetic k-medoids clustering algorithm , 2006, J. Heuristics.

[7] Victor J. Rayward-Smith,et al. The Application of K-Medoids and PAM to the Clustering of Rules , 2004, IDEAL.

[8] G. Gross,et al. Short-term load forecasting , 1987, Proceedings of the IEEE.

[9] S. J. Kiartzis,et al. Short-term load forecasting using neural networks , 1995 .

[10] Thorsten Joachims,et al. Making large scale SVM learning practical , 1998 .