About: Usage of the Evolutionary Designed Neural Network for Heat Demand Forecast

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper highlights the problem of forecast model design for time series of heat demand. We propose the forecast model of heat demand based on the assumption that the course of heat demand can be described sufficiently well as a function of the outdoor temperature and the weather independent component (social components). Time of the day affects the social components. Forecast of social component is realized by means of Box-Jenkins methodology. The weather dependent component is modeled as a heating characteristic (function that de-scribes the temperature-dependent part of heat consumption). The principal aim is to derive an explicit expression for the heating characteristics. The Neural Network Synthesis is successfully applied here to find this expression. An experi-ment described in the paper was realized on real life data. We have studied half-hourly heat demand data, covering four month period in concrete district heating system (DHS) from Most agglomeration and heating plant situated in Komořany, Czech Republic. This paper highlights the problem of forecast model design for time series of heat demand. We propose the forecast model of heat demand based on the assumption that the course of heat demand can be described sufficiently well as a function of the outdoor temperature and the weather independent component (social components). Time of the day affects the social components. Forecast of social component is realized by means of Box-Jenkins methodology. The weather dependent component is modeled as a heating characteristic (function that de-scribes the temperature-dependent part of heat consumption). The principal aim is to derive an explicit expression for the heating characteristics. The Neural Network Synthesis is successfully applied here to find this expression. An experi-ment described in the paper was realized on real life data. We have studied half-hourly heat demand data, covering four month period in concrete district heating system (DHS) from Most agglomeration and heating plant situated in Komořany, Czech Republic. (en)
Title	Usage of the Evolutionary Designed Neural Network for Heat Demand Forecast Usage of the Evolutionary Designed Neural Network for Heat Demand Forecast (en)
skos:prefLabel	Usage of the Evolutionary Designed Neural Network for Heat Demand Forecast Usage of the Evolutionary Designed Neural Network for Heat Demand Forecast (en)
skos:notation	RIV/70883521:28140/13:43869057!RIV14-MSM-28140___
http://linked.open...avai/predkladatel	Fakulta aplikované informatiky
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0089)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Vařacha, Pavel Chramcov, Bronislav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	112920
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/13:43869057
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	prediction, heat consumption, neural network, district heating system (en)
http://linked.open.../riv/klicoveSlovo	neural network prediction heat consumption district heating system
http://linked.open...ontrolniKodProRIV	[DB1EB4647835]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
http://linked.open...in/vavai/riv/obor	JE
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Chramcov, Bronislav Vařacha, Pavel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-09-05 (xsd:date)
issn	2194-5357
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag. Berlin
https://schema.org/isbn	978-3-642-33226-5
http://localhost/t...ganizacniJednotka	28140

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