Research on Light Rail Electric Load Forecasting Based on ARMA Model

被引：1
|
作者：
Huang, Yifan [1 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Baoding 071000, Hebei, Peoples R China
来源：
ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II | 2018年 / 1955卷
关键词：
The light rail system; electricity load forecasting; prediction model; ARMA;
D O I：
10.1063/1.5033754
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
The article compares a variety of time series models and combines the characteristics of power load forecasting. Then, a light load forecasting model based on ARMA model is established. Based on this model, a light rail system is forecasted. The prediction results show that the accuracy of the model prediction is high.
引用
收藏
页数：6
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