title: |
Power Signal Predictions by Several Neural Models |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.284 (how to use a DOI) | |
author(s): |
Rey-Chue Hwang, Yu-Ju Chen, Shang-Jen Chuang, Hunag-Chu Huang, Chuo-Yean Chang |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
non-stationary, power signal, prediction, neural models |
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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.
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |