Fuzzy-Neural Network Based Short-Term Seasonal and Average Load Forecasting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F01%3APU24992" target="_blank" >RIV/00216305:26220/01:PU24992 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy-Neural Network Based Short-Term Seasonal and Average Load Forecasting
Original language description
Seasonal and average load forecasting for czech electric power utility using fuzzy neural network. Comparison of accuracy related to seasonal loading.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F00%2F1586" target="_blank" >GA102/00/1586: Complex non-linear dynamical systems in the field of power electrical engineering</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NOSTRADAMUS
ISBN
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ISSN
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e-ISSN
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Number of pages
5
Pages from-to
154-158
Publisher name
Technická univerzita Zlín
Place of publication
Zlín
Event location
Zlín
Event date
Sep 25, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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