Second, to improve the quality of short-term power load data, load data based on wavelet methods for detection of singularity analysis of the noise signal, and by smoothing the data to eliminate the noise, the data provide a good basis for prediction.

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Next for improves the short-term power load data quality, carries on the irregularity analysis examination noise signal based on the wavelet method to the load data, and eliminates its noise through data smooth processing, provides the good data foundation for the forecast.

Followed by improving the quality of short-term electric power load data, based on wavelet Singularity analysis of detection of noise signal to load data and data smoothing to eliminate their noise, provide good data basis for forecasting.

Second, to improve the quality of short-term power load data, load data based on wavelet methods for detection of singularity analysis of the noise signal, and by smoothing the data to eliminate the noise, the data provide a good basis for prediction.