Data mining based neural network model for load forecasting

Author

Xing, Mian ; Sun, Wei

Author_Institution

Dept. of Appl. Math., North China Electr. Power Univ., Baoding, China

Volume

3

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

1713

Abstract

The load forecasting of the artificial neural network based on data mining technology advanced in this paper has improved the forecast precision in two aspects. The first one is to carve load history up different weather character and take out many load history as the same as the weather character of the forecast load and forecast the load based on the data mining technology. The other is to optimize the structure of neural network and get the satisfactory forecast result. Since the model considered the influence of weather factor and optimized of the structure of neural network, this method improve the load forecast precision greatly.

Keywords

data mining; load forecasting; meteorology; neural nets; data mining; grey relevant analysis; load forecasting; neural network; Artificial neural networks; Data mining; History; Load forecasting; Load modeling; Neural networks; Optimization methods; Predictive models; Technology forecasting; Weather forecasting; Load forecasting; data mining; grey relevant analysis; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527220

Filename

1527220