The Implementation of Load Forecasting Platform Based on Cloud Computing

被引：0

作者：

Li Weijun ^{[1
]}

Pang Yanjun ^{[1
]}

Wang Qinghao ^{[1
]}

Liu Bo ^{[1
]}

Wang Chuang ^{[1
]}

Liu Zhitong ^{[2
]}

Hao Guanqiao ^{[1
]}

Zhao Chuanzong ^{[1
]}

Xie Xinnan ^{[1
]}

Xu Mei ^{[1
]}

机构：

[1] Fushun Power Supply Co, Liaoning Elect Power Co Ltd, State Grid, Fushun, Liaoning, Peoples R China

[2] Shenyang Power Supply Co, Liaoning Elect Power Co Ltd, State Grid, Shenyang, Liaoning, Peoples R China

来源：

PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY (ICMMCT 2017) | 2017年 / 126卷

关键词：

cloud computing; smart grid; grid load forecasting platform;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

As the rapid development of China's economy construction and scientific technology, the grid carrying load becomes higher and higher, and how to realize correct grid load forecasting technique becomes a current new smart grid studying hot spot. Without an exact calculation for the load, it can cause that the grid goes wrong in actual operation easily. Due to development and diffusion of cloud computing technology, it can realize load forecasting platform of Fushun smart grid by cloud computing technology at present. The thesis focuses on Fushun grid load forecasting, utilizes cloud computing technology to achieve implementation effects of grid load forecasting platform, and analyses and studies characters, main frame, primary technology, facing problems, related applications of Fushun grid load forecasting.

引用

页码：957 / 961

页数：5

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