Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86089794" target="_blank" >RIV/61989100:27240/14:86089794 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86089794
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07995-0_21" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07995-0_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07995-0_21" target="_blank" >10.1007/978-3-319-07995-0_21</a>
Alternative languages
Result language
angličtina
Original language name
Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension
Original language description
The paper presents the application of ensemble approach in the prediction of ten-sion in a power plant generator. The proposed Adaptive Splitting and Selection (AdaSS) ensemble algorithm performs fusion of several elementary predictors and is based on the assumption that the fusion should take into account the com-petence of the elementary predictors. To take full advantage of complementarity of the predictors, the algorithm evaluates their local specialization, and creates a set of locally specializedpredictors. System parameters are adjusted using evolu-tionary algorithms in the course of the learning process, which aims to minimize the mean squared error of prediction. Evaluation of the system is carried on an empirical data set and is compared toother classical ensemble methods. The re-sults show that the proposed approach effectively returns a more consistent and accurate prediction of tension, thereby outperforming classical ensemble approaches
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in intelligent systems and computing. Volume 299
ISBN
978-3-319-07994-3
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
"207-216"
Publisher name
Springer
Place of publication
New York
Event location
Bilbao
Event date
Jun 25, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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