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This paper propose a long-term load forecasting model based on two integrated intelligent algorithms, i.e., principal component analysis(PCA) and support vector machines (SVM). At first, through the principal component analysis to find the core of the impact of load factor, and then build a mixed kernel function support vector machine prediction model to predict. The simulation results show that the...
With the development of economy, the electricity load also increased, in order to avoid shortage of power supply, must increase the investment in power construction correspondingly. How to determine the amount and the time of investment should be taken into account, when made decision. Of course, there are many related factors, this paper only from the capacity-load ratio as an example which accounted...
The characteristics of small sample, stochastic growth and nonlinear wave are often combined with long-medium power load forecast series; SVM model could reflect the relationship between growing characteristics and nonlinear characteristics to the series effectively and make fitting calculation, on the other hand, Markov could well reflect randomness that produced by the system involve with many complex...
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