Research Article
Research on Multidimensional Evaluation Model and Algorithm of Effectiveness of New Power System Technical Standard System Based on Association Rules and Big Data
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334621, author={Qiyu Lu and Xingde Huang and Haoyi Tian and Yong Li and Xiaoqian Liu}, title={Research on Multidimensional Evaluation Model and Algorithm of Effectiveness of New Power System Technical Standard System Based on Association Rules and Big Data}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={association rules; power systems; technical standards; validity evaluation; frequent item sets}, doi={10.4108/eai.2-6-2023.2334621} }- Qiyu Lu
Xingde Huang
Haoyi Tian
Yong Li
Xiaoqian Liu
Year: 2023
Research on Multidimensional Evaluation Model and Algorithm of Effectiveness of New Power System Technical Standard System Based on Association Rules and Big Data
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334621
Abstract
The current conventional evaluation method of the effectiveness of the technical standard system of power system is mainly through the extraction of key factors of technical standards, so as to construct an evaluation model. Due to the lack of mining processing of technical standard data, it leads to poor evaluation effect. In this regard, a new multidimensional evaluation model and algorithm for the effectiveness of the technical standard system of power system based on association rules and big data are proposed. By extracting the frequent item set, the technical standard data of power system is mined. And the three-level indexes are extracted from multiple dimensions to build the validity multidimensional evaluation model, and the evaluation of validity is realized by calculating the comprehensive evaluation score. In the experiments, the evaluation performance of the proposed evaluation model is verified. The final results can prove that when the proposed method is used to evaluate the effectiveness of the technical standard system of the power system, the model has a low misjudgment rate and has a more desirable evaluation performance.
