Abstract: 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.