Next day load forecasting using SVM

22Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Based on similar day method and SVM, this paper proposes a new method for next day load forecasting. The new method uses the parameters of several similar days, instead of only selecting one similar day as in similar day method. The parameters of selected similar days are used as inputs to SVM for forecasting the loads of 24 points (one hour per point) of the next day. The method behaves the advantages of both similar day method and SVM method, Corresponding software was developed and used to forecast the next day load in a practical power system and the final forecasting error is low. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Li, X., Gong, D., Li, L., & Sun, C. (2005). Next day load forecasting using SVM. In Lecture Notes in Computer Science (Vol. 3498, pp. 634–639). Springer Verlag. https://doi.org/10.1007/11427469_101

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free