The power load forecasting by kernel PCA

Fang Tsung Liu, Chiung Hsing Chen, Shang Jen Chuang, Ting Chia Ou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We use one year's subset to train the Support Vector Machines (SVM) and the next year's data was used for testing with Kernel Principal Components Analysis (KPCA). This is clearly not optimal for a non-stationary time series such as we have here nevertheless the MAPE of peak load data set with back-propagation neural network [Chuang et al., 1998] is 3.0 and Support Vector Machine is 2.6.

Original languageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publicationTechnologies and Applications - Second International Conference, ICCCI 2010, Proceedings
Pages411-424
Number of pages14
EditionPART 2
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 - Kaohsiung, Taiwan
Duration: 2010 Nov 102010 Nov 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6422 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010
Country/TerritoryTaiwan
CityKaohsiung
Period10-11-1010-11-12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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