电力需求侧管理2024，Vol.26Issue(3)：112-118,7.DOI:10.3969/j.issn.1009-1831.2024.03.018
基于标幺化三阈值事件检测与LDA分类器的工商业负荷辨识方法
Industrial and commercial load identification method based on normalized three threshold event detection and LDA classifier
摘要
Abstract
Non-intrusive load identification technology can obtain the usage of various equipment at low cost,and can monitor and analyze power load on line,which is of great significance for load forecasting,demand response and other applications.In view of the diversity of general industrial and commercial users,the variety of loads and the complexity of equipment operation characteristics,anindustrial and commercial load identification scheme based on normalized three threshold event detection and LDA classifier is proposed,Firstly,a uni-fied load event detection framework with adjustable parameters is designed for devices with different energy levels and different start-stop characteristics,which improves the detection accuracy of slow-moving,segmented and oscillating load events.Then an equipment type identification algorithm based on multivariate features and LDA linear discrimination is proposed,which achieves the same identification performance as nonlinear classifiers such as random forest while ensuring the computational efficiency of the edge.关键词
非侵入式负荷辨识/一般工商业用户/事件检测/改进三阈值算法/LDA线性判别Key words
non-intrusive load identification/general industrial and commercial users/event detection/improved three threshold algo-rithm/LDA linear discriminant分类
信息技术与安全科学引用本文复制引用
陈霄,马云龙,李新家,方磊,严永辉,喻伟..基于标幺化三阈值事件检测与LDA分类器的工商业负荷辨识方法[J].电力需求侧管理,2024,26(3):112-118,7.基金项目
国网浙江省电力有限公司科技项目(5211YF230004) （5211YF230004）
