摘要
阐述电力数据管理系统及数据分析,负荷预测与异常检测,包括系统用电负荷预测算法中的BP神经网络、粒子群算法、负荷预测算法,电力数据异常检测算法中的预处理电力数据、谱聚类算法改进。
This paper expounds the power data management system and data analysis, load forecasting and anomaly detection, including the BP neural network, particle swarm optimization algorithm and load forecasting algorithm in the system power load forecasting algorithm, the preprocessing of power data and the improvement of spectral clustering algorithm in the power data anomaly detection algorithm.
作者
胡婧
吴前
庄磊
邹翔宇
赵骞
HU Jing;WU Qian;ZHUANG Lei;ZOU Xiangyu;ZHAO Qian(Marketing Service Center of State Grid Anhui Electric Power Co.,Ltd.,Anhui 230022,China;State Grid Huangshan Power Supply Company,Anhui 245000,China;State Grid Anhui Electric Power Co.,Ltd.,Anhui 230022,China;State Grid Fuyang Suburban Power Supply Company,Anhui 236000,China)
出处
《集成电路应用》
2022年第3期87-89,共3页
Application of IC
关键词
数据管理系统
用电负荷
预测算法
异常检测
data management system
power load
prediction algorithm
anomaly detection