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Impact of weather inputs on heating plant - Agglomeration modeling

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dc.title Impact of weather inputs on heating plant - Agglomeration modeling en
dc.contributor.author Vařacha, Pavel
dc.relation.ispartof NN'09: Proceedings of the 10th WSEAS International Conference on Neural Networks
dc.identifier.isbn 978-960-474-065-9
dc.date.issued 2009
dc.citation.spage 159
dc.citation.epage 162
dc.event.title 10th WSEAS International Conference on Neural Networks
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2009-03-23
dc.event.edate 2009-03-25
dc.type conferenceObject
dc.language.iso en
dc.publisher World Scientific and Engineering Academy and Society (WSEAS) en
dc.relation.uri http://www.wseas.us/e-library/conferences/2009/prague/NEURAL/NEURAL27.pdf
dc.subject artificial neural network en
dc.subject modeling en
dc.subject heting plant en
dc.subject weather en
dc.subject humidity en
dc.subject wind speed en
dc.description.abstract This article describes performance of artificial neural network (ANN) oil 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 humidity and wind speed. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001833
utb.identifier.rivid RIV/70883521:28140/09:63508015!RIV10-GA0-28140___
utb.identifier.obdid 43859485
utb.identifier.wok 000265636900027
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:03Z
dc.date.available 2011-08-09T07:34:03Z
utb.contributor.internalauthor Vařacha, Pavel
utb.fulltext.affiliation PAVEL VARACHA Department Applied Informatics Tomas Bata University in Zlin Nad Stranemi 4511, Zlin, 760 05 CZECH REPUBLIC varacha@fai.utb.cz http://www.fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references [1] http://www.ue.cz/ [2] http://www.cez.cz/cs/uvod.html [3] BOSE, B.K., LIANG, P. 1996. Neural Network Fundamentals with Graphs, Algorithms, and Aplications. McGraw-Hill Series in Electrical and Computer Engineering, 478 p. ISBN 0-07 006618-3. [4] http://mathworld.wolfram.com/LevenbergMarquardtMethod.html [5] http://en.wikipedia.org/wiki/RMSD
utb.fulltext.sponsorship This work was supported by National Program of Research II, project number 2C06007, of the Ministry of Education of the Czech Republic and by grant of the Grant Agency of the Czech Republic GACR 102/09/1680.
utb.fulltext.projects 2C06007
utb.fulltext.projects GACR 102/09/1680
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