A two-dimension wavelet threshold de-noising method for electric load data pre-processing

作者：Tong, Shulin; Wen, Fushuan^*; Chen, Liang

来源：Automation of Electric Power Systems, 2012, 36(2): 101-105.

DOI：10.3969/j.issn.1000-1026.2012.02.019

• Data preprocessing
• De-noising
• Electric load datum
• Gray-scale images
• Load forecasting
• Power system analysis
• Threshold de-noising
• Two-dimension wavelets

There are usually some noises in the historical load data, and the accuracy of load forecasting could then be impacted. Hence, it is necessary to de-noise the noises before the load data are used for load forecasting or power system analysis. Considering both horizontal and vertical continuities of electric loads, a new method for load de-noising is presented based on a two-dimension wavelet threshold de-noising method. First, the load data is transformed into a matrix of gray-scale images by normalization. Next, the images are processed by employing the two-dimension wavelet threshold de-noising method. Finally, the de-noised data are obtained after de-normalization. The feasibility and efficiency of the developed method are demonstrated by the improvement of the load forecasting accuracy of an actual example.

• 出版日期2012-1-25
• 单位华南理工大学; 浙江大学