湖北民族大学学报（自然科学版）2024，Vol.42Issue(3)：343-348,374,7.DOI:10.13501/j.cnki.42-1908/n.2024.09.005
基于IDBO-LSSVM的输电线路覆冰厚度预测模型
Transmission Line Ice Cover Thickness Prediction Model Based on IDBO-LSSVM
摘要
Abstract
Aiming at the problem of low accuracy of ice cover thickness prediction due to the influence of multiple meteorological factors on transmission line ice cover,a transmission line ice cover thickness prediction model based on improved dung beetle optimizer(IDBO)-least square support vector machine(LSSVM)was proposed.Firstly,the Pearson correlation coefficient(PCC)was used to calculate the correlation between the ice thickness of transmission lines and different meteorological factors.High correlation meteorological factors were selected to determine the input variables.Secondly,the dung beetle optimizer(DBO)was improved by introducing Halton sequences,Levy flight strategies,and T-distribution perturbations.Finally,IDBO was used to optimize the parameters of LSSVM,including the adjustment factor and kernel function width,further improving the prediction accuracy of the model.When the prediction results of IDBO-LSSVM were compared with other seven prediction models using the historical monitoring data of a transmission line in a certain region as a sample,the average absolute errors were reduced by about 27%,36%,25%,23%,24%,44%and 39%,respectively.The results indicated that the transmission line ice cover thickness prediction model based on IDBO-LSSVM could effectively improve the prediction accuracy.关键词
输电线路/覆冰厚度预测/皮尔逊相关系数分析/改进蜣螂优化算法/最小二乘支持向量机Key words
transmission lines/ice cover thickness prediction/Pearson correlation coefficient(PCC)analysis/improved dung beetle optimization algorithm(IDBO)/least squares support vector machine(LSSVM)分类
信息技术与安全科学引用本文复制引用
陈静,李荣浩..基于IDBO-LSSVM的输电线路覆冰厚度预测模型[J].湖北民族大学学报（自然科学版）,2024,42(3):343-348,374,7.基金项目
国家自然科学基金项目(51874010) （51874010）
安徽省教育厅高校自然科学研究项目(KJ2018A0087). （KJ2018A0087）
