云南师范大学学报（自然科学版）2024，Vol.44Issue(1)：41-44,4.DOI:10.7699/j.ynnu.ns-2024-009
融合随机森林和神经网络的电能质量分析算法
Power Quality Analysis Algorithm Based on Random Forest and Neural Network
摘要
Abstract
A power quality analysis algorithm based on random forest(RF)and neural network(NN)is proposed.First,RF is used for feature extraction and dimensionality reduction of power quality sig-nals,and then NN is used to classify and identify the extracted features.Finally,the effectiveness of the proposed algorithm is verified by experiment and compared with other commonly used power quality analysis methods.The experimental results show that the proposed algorithm has higher accuracy,re-call rate and F1 value.Meanwhile,the proposed algorithm has faster running speed and lower computa-tional complexity.关键词
随机森林/神经网络/电能质量/扰动分析Key words
Random forest/Neural network/Power quality/Disturbance analysis分类
信息技术与安全科学引用本文复制引用
郑曼,周炫羽,王钢,程书绚..融合随机森林和神经网络的电能质量分析算法[J].云南师范大学学报（自然科学版）,2024,44(1):41-44,4.基金项目
国家自然科学基金资助项目(62076222). （62076222）
