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- W2367874633 abstract "The parameter-optimized Support Vector Machine(SVM) was used to establish the power load model.The algorithm can automatically adjust the weight between the empirical risk and the VC dimension,and consequently improve the generalization ability of the model.The grid search and the pattern search were combined as an optimization strategy to optimize the three parameters of the SVM load model,and the more objective and effective cross-validation technique was introduced to train and assess the model.In the calculation example,the real data were used for the dynamic modeling of the load,and the results show that the load model is accurate and has high generalization ability." @default.
- W2367874633 created "2016-06-24" @default.
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- W2367874633 date "2007-01-01" @default.
- W2367874633 modified "2023-09-24" @default.
- W2367874633 title "Application of parameter-optimized support vector machines to power load modeling" @default.
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