Electric load forecasting using wavelet transform and extreme learning machine
نویسندگان
چکیده
This paper proposes a novel method for load forecast, which integrates wavelet transform and extreme learning machine. In order to capture more internal features, wavelet transform is used to decompose the load series into a set of subcomponents, which are more predictable. Then all the components are separately processed by extreme learning machine. Numerical testing shows that the proposed method is able to improve the forecast performance with much less computational cost compared with other benchmarking methods.
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