Impact of Weather Inputs on Heating Plant - Agglomeration Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63508015" target="_blank" >RIV/70883521:28140/09:63508015 - 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
Impact of Weather Inputs on Heating Plant - Agglomeration Modeling
Original language description
This article describes performance of artificial neural network (ANN) on modeling interface between a heating plant and an agglomeration. ANN perform one step ahead prediction of water temperature returned from agglomeration based on input water temperature, flow and atmospheric temperature in past 24 hours. Usage of ANN in two factual heating plant in Komorany and Detmarovice, Czech Republic. Main concern of the article is to explore possibility of tuning ANN accuracy by additional inputs for humidityand wind speed.
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
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th WSEAS Ing. Conf. on Neural Networks
ISBN
978-960-474-065-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
WSEAS World Science and Engineering Academy and Science
Place of publication
Atény
Event location
Praha
Event date
Mar 25, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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