Found an issue? Give us feedback

https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1109/icmlc....

Conference object . 2005 . Peer-reviewed

Data sources: Crossref

http://yadda.icm.edu.pl/yadda/...

Article

Data sources: Microsoft Academic Graph

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Data mining based neural network model for load forecasting

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2005Publisher:IEEEJournal:2005 International Conference on Machine Learning and Cybernetics

Authors: Mian Xing; Wei Sun;

doi: 10.1109/icmlc.2005.1527220

Data mining based neural network model for load forecasting

- Summary
- Metrics

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.

Related Organizations

North China Electric Power University
China (People's Republic of)
North China Electric Power University
China (People's Republic of)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average

Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

View all

Related to Research communities

Energy Research