Data Quality Evaluation Method of Jiangsu Power Grid Based on Data Mining

To solve the problem that the current power grid data quality evaluation has a poor evaluation effect and the evaluation membership degree does not meet the requirements of power grid operation, the data mining technology is introduced to carry out the design and research of the power grid data quality evaluation method in Jiangsu Province. Integrality, accuracy and validity are taken as the indexes for evaluating the quality of power grid data, and the weight of each index is divided; a power grid data quality evaluation model is constructed by using the data mining technology, and the model solution is realized by setting the input quantity and the output quantity; and the massive data security information screening is realized by combining the model solution result. The new evaluation method is applied to the power grid of Jiangsu Province to prove its application performance. The proposed method is used to evaluate the quality of power grid data, and the membership degree of the evaluation results is more than 90%, which has a very high evaluation accuracy.