微型电脑应用2023，Vol.39Issue(11)：114-117,4.
基于混合模型的电力用户信用评估研究
Research on Power User Credit Evaluation Based on Hybrid Model
王岩 1陈孝文 1许家伟1
作者信息
- 1. 海南电网有限责任公司信息通信分公司,海南,海口 570203
- 折叠
摘要
Abstract
A credit evaluation scheme for power users is proposed based on hybrid model.Considering the high dimension of da-ta and complex attribute relations,an improved adaptive elastic network model is proposed to extract important features from a large number of power credit data.In order to alleviate the noise problem in the data,the adaptive isolated forest method is proposed to construct the noise enhanced data set to improve the robustness of the model.The ELM model classifier is com-bined and optimized based on the bilayer integration model to maximize the diversity among the classifiers.关键词
电力系统/信用评估/集成模型/噪声抑制Key words
power system/credit evaluation/integrated model/noise restriction分类
信息技术与安全科学引用本文复制引用
王岩,陈孝文,许家伟..基于混合模型的电力用户信用评估研究[J].微型电脑应用,2023,39(11):114-117,4.
