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Considering load uncertainty, based on the Rough Set attribute reduction algorithm, this paper is to find the key attributes and then find the most similar data of prediction day through reoccupy Fuzzy C-means clustering algorithms, while the data are as inputs to Fuzzy Information Granulation (FIG), and then, with the data through FCM and FIG' s as the inputs of least squares support vector machine(LLSVM)...
Aiming the deficiency of traditional load model used for reliability assessment, this paper proposes a new integrative K-means clustering algorithm incorporating load characteristics information. Based on the clustering algorithm, this model adopts multi-dimension correlation sampling technique considering bus load correlation load forecasting uncertainty to determine the bus load in evaluation period...
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