Application of Combination Forecast Model in the Medium and Long Term Power Load Forecast

Author:

Zhao Ke1,Gan Lin1,Wang Zhong1,Xiong Yan1

Affiliation:

1. Nanchang Hangkong University

Abstract

For seasonal and long-term power load forecasting problem, this paper presents an optimal combination forecasting method, which can optimize the combination of multiple predictive models. Optimize the combination of the two model predictions with two models as an example, which are the gray GM(1,1) model and linear regression model, and finally compare the predicted values of combination with the real values. The results show that: the combination forecasting method has a high prediction accuracy, and the error is very small.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference6 articles.

1. Li Zhang, Peirong Ji, Aihua Du, Qixin He. Several long-term power load forecasting comparison of gray prediction model and its application [J]. Three Gorges University: Natural Science, 2009, 31 (3) : 41-45.

2. Junyou Zhao. Grey GM (1, 1) model and its optimization in power load forecasting application [J]. Shenyang Institute of Technology: Natural Science, 2007, 3 (1) : 35-37.

3. Wanming Zhao, Yanquan Huang, Guihui Chen. Seasonal electricity load forecasting in rural areas based on optimization Gray model [J]. Anhui Agricultural Sciences, 2010, 38 (3): 1448-1449.

4. Zhenjun Tang. Long-term power load forecasting based on improved Gray model [J]. Chizhou power supply companies, 2009, 23 (6) : 42-43.

5. Liwen Yao, Xiaoming Bai, Yi Chen. Power load forecasting model based on gray theory [J]. Nanchang University: Science Edition, 2010, 34 (5) : 507-510.

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