9th Joint International Conference on Information Sciences (JCIS-06)

Power Signal Predictions by Several Neural Models

Authors
Rey-Chue Hwang 0, Yu-Ju Chen, Shang-Jen Chuang, Hunag-Chu Huang, Chuo-Yean Chang
Corresponding Author
Rey-Chue Hwang
0Electrical Engineering Department, I-Shou University
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.284How to use a DOI?
Keywords
non-stationary, power signal, prediction, neural models
Abstract
In this paper, a comparison study for the non-stationary power signal prediction by using several neural models is presented. A reliable and accurate neural forecasting model is trying to be found and concluded. This study is expected to provide some suggestions and could be treated as a reference for the researchers in this area. All simulations are executed by using several neural networks with different structures and then the results are reported.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.284How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rey-Chue Hwang
AU  - Yu-Ju Chen
AU  - Shang-Jen Chuang
AU  - Hunag-Chu Huang
AU  - Chuo-Yean Chang
PY  - 2006/10
DA  - 2006/10
TI  - Power Signal Predictions by Several Neural Models
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.284
DO  - https://doi.org/10.2991/jcis.2006.284
ID  - Hwang2006/10
ER  -