现代信息科技2024，Vol.8Issue(6)：132-135,4.DOI:10.19850/j.cnki.2096-4706.2024.06.028
基于WPA-Prophet模型的区域用电量预测
Prediction of Regional Electricity Consumption Based on WPA-Prophet Model
谭曾盛 1王志兵1
作者信息
- 1. 湖南工业大学 计算机学院,湖南 株洲 412007
- 折叠
摘要
Abstract
In order to obtain a more accurate electricity consumption prediction model,Wolf Pack Algorithm(WPA)is used to optimize key parameters of the Prophet model,and an optimized electricity consumption prediction model is built based on WPA.The experimental data is the daily electricity consumption of Victoria,Australia from 2015 to 2019.The data of first four years are used as the test set,and the accuracy of the prediction results is verified in the last year.The evaluation indexes of the prediction results are Root-Mean-Square Error and Mean Absolute Percentage Error.The experimental results show that the prediction accuracy of Prophet model optimized by WPA algorithm has been effectively improved,which provides a reference for improving the prediction accuracy of regional electricity consumption.关键词
Prophet模型/狼群算法/用电量预测/时间序列Key words
Prophet model/Wolf Pack Algorithm/electricity consumption prediction/time series分类
信息技术与安全科学引用本文复制引用
谭曾盛,王志兵..基于WPA-Prophet模型的区域用电量预测[J].现代信息科技,2024,8(6):132-135,4.
