2ZHOU S L,MCMAHON T A,WALTON A,et al.Forecasting operational demand for an urban water supply zone[J].Journal of Hydrology,2002,259:189-202.
3VAPNIK V N.The Nature of Statistical Learning Theory[M].New York:Springer-Verlag,1995.
4VAPNIK V N.Statistical Learning Theory[M].New York:Wiley,1998:493-520.
5CAMPBELL C.Algorithmic approaches to training support vector machines:a survey[C]// Proceed ings of European Symposium on Artificial Neural Networks.Bruges,Belgium:[s.n.],2000:8-17.
6Graaf J M, Meester-Broertjes H A, Bruggeman W A, et al. Sustainable technological development for urban-water cycles[J]. Water Science and Technology, 1997,35(10): 213-220.
7Zhou S L, McMahon T A, Walton A, et al. Forecasting operational demand for an urban water supply zone[J]. Journal of Hydrology, 2002,259(3): 189-202.
8El-Keib A, Ma X, Ma H. Advancement of statistical based modeling techniques for short-term load forecasting[J]. Electric Power Systems Research, 1995,35(1):51-58.
9Al-Kandarl A M, Soliman S A, El-Hawary M E. Fuzzy short-term electric load forecasting[J]. Electrical Power and Energy Systems ,2004,26(2): 111-122.
10Kalogirou S A. Applications of artificial neural-networks for energy systems[J]. Applied Energy, 2000,67(1): 17-35.
