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Quality Assessment of Power Dispatching Data Based on Improved Cloud Model

机译:基于改进云模型的电力调度数据质量评估

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This paper presents a data quality assessment method based on improved cloud model for the quality assessment of power dispatching data. The cloud model is used to make the soft segmentation of the reviews. The evaluation results are transformed into cloud models by means of the reverse cloud generator, and the corresponding evaluation cloud is constructed. At last, the similarity degree between the comprehensive evaluation cloud and each evaluation grade cloud is calculated by the similarity algorithm based on the improved cloud model, so as to determine the evaluation grade to which the electric power dispatching data belongs. The method of data quality assessment based on improved cloud model is proposed based on the data characteristics and business characteristics of Power Scheduling Center. The evaluation result is fair and objective. And the practicality of the method is verified by the experiment, which compensates the shortcomings of the quality assessment method of power dispatching data.
机译:提出了一种基于改进云模型的电力调度数据质量评估数据质量评估方法。云模型用于对评论进行软细分。利用反向云生成器将评估结果转换为云模型,并构建相应的评估云。最后,基于改进的云模型,利用相似度算法计算综合评价云与各个评价等级云之间的相似度,从而确定电力调度数据所属的评价等级。针对电力调度中心的数据特征和业务特征,提出了一种基于改进云模型的数据质量评估方法。评价结果公正客观。通过实验验证了该方法的实用性,弥补了电力调度数据质量评估方法的不足。

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