Implementation of Hybrid Fuzzy-Neural Network Approach for Short-Term Hourly and Peak Load Forecasting Using Weather Parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F01%3APU24907" target="_blank" >RIV/00216305:26220/01:PU24907 - 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
Implementation of Hybrid Fuzzy-Neural Network Approach for Short-Term Hourly and Peak Load Forecasting Using Weather Parameters
Original language description
Artificial inteligence used in short-term hourly and peak load forecasting using wheather parameters. Analysis of hybrid fuzzy-neural network used.
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
Z - Vyzkumny zamer (s odkazem do CEZ)
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
MENDEL-2001
ISBN
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ISSN
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e-ISSN
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Number of pages
7
Pages from-to
25-31
Publisher name
FSI VUT Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 6, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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