GM (1,1) Model Application in Power Load Forecasting Based on Moving Average Method

被引：0

作者：

Zhu, Qian ^{[1
]}

Jia, Xiangdan ^{[1
]}

机构：

[1] Hebei Finance Univ, Dept Econ & Business, Baoding 071051, Peoples R China

来源：

2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA) | 2013年

关键词：

Grey prediction; Load forecasting; Sliding average method; Prediction accuracy;

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：

Grey prediction has advantages of need less historical data, foperating speed is fast, algorithm is simple, easy to test, so it is suitable for use in power load forecasting. But grey model has some limitations, the data dispersion degree is more bigger, the gray is also more bigger, it will reduce the accuracy of prediction. This paper adopts the moving average method to improve the raw data, so as to increase the data weights, while avoiding predicted value excessive volatility, So it can improve the load forecast accuracy.

引用

页码：289 / 291

页数：3

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