微型电脑应用2023，Vol.39Issue(11)：190-193,4.
一种基于机器学习的电力能耗异常检测与预测的方法
A Method of Abnormal Detection and Prediction of Power Consumption Based on Machine Learning
杨婧 1宋强 1石云辉1
作者信息
- 1. 贵州电网有限责任公司,贵州,贵阳 550000
- 折叠
摘要
Abstract
The existing power data anomaly detection and prediction methods do not complete the missing items caused by dele-ting or correcting the data in preprocessing the power energy consumption data,resulting in obvious errors and omissions in the time series.In order to improve the accuracy of power energy consumption anomaly detection and prediction,the power energy consumption anomaly detection and prediction method is designed based on machine learning.In the process of data preprocess-ing,we clean,convert and extract the power energy consumption data,complete the missing values in the time series,and en-sure that the deleted and corrected data will not affect the overall data processing.On this basis,the power energy consumption anomaly detection algorithm and power energy consumption prediction algorithm based on machine learning are designed.The power data in spring,summer,autumn and winter are selected,and the detection and prediction results of abnormal power con-sumption data by machine learning method and other three methods are compared.The experimental results show that the ROC value of the proposed method is greater than those of other algorithms in different times,and the RMSE and MAE error inde-xes of the prediction results are less than those of other algorithms.It can be seen that the accuracy of the prediction results of the proposed method is greater than other algorithms.关键词
机器学习/电力能耗/异常数据检测/电力能耗预测/电力能耗异常检测Key words
machine learning/power consumption/abnormal data detection/power consumption prediction/abnormal detection of power consumption分类
信息技术与安全科学引用本文复制引用
杨婧,宋强,石云辉..一种基于机器学习的电力能耗异常检测与预测的方法[J].微型电脑应用,2023,39(11):190-193,4.
