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In this paper, the support vector machine (SVM) optimized by the improved fruit fly algorithm and the similar day method is employed in the short-term load forecasting. In practice, the learning capacity and generalization ability of SVM are controlled by the regularization parameters, parameters of the kernel function and insensitivity loss functions, which were confirmed based on the experience...
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