Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527220
