An Overview of Short-term Load Forecasting Based on Characteristic Enterprises

被引:0
|
作者
Dou, Yuchen [1 ]
Zhang, Hang [2 ]
Zhang, Aimin [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Shaanxi, Peoples R China
关键词
short-term load forecasting; characteristic enterprise; deep learning; data mining;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Load forecasting is the basic work of power planning, consumption, dispatching, etc. This paper provides an overview of short-term load forecasting based on characteristic enterprises. Based on the research status of the field, the background and significance of short-term load forecasting are discussed. This paper summarizes the characteristics and prediction methods of the enterprise with characteristic electricity consumption. This paper also gives a brief overview of the application of deep learning and data mining in short-term load forecasting. The problems existing in short-term load forecasting and the subsequent research directions are put forward.
引用
收藏
页码:3176 / 3180
页数:5
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