About: Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with design of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. In this paper 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). Forecast of social component is realized by means of Box-Jenkins methodology. For inclusion of outdoor temperature influence in calculation of prediction of heat demand is used the heating characteristic (function that describes 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 used for optimal finding of the expression. This paper deals with design of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. In this paper 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). Forecast of social component is realized by means of Box-Jenkins methodology. For inclusion of outdoor temperature influence in calculation of prediction of heat demand is used the heating characteristic (function that describes 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 used for optimal finding of the expression. (en)
Title	Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis (en)
skos:prefLabel	Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis (en)
skos:notation	RIV/70883521:28140/12:43869055!RIV13-MSM-28140___
http://linked.open...avai/predkladatel	Fakulta aplikované informatiky
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0089), Z(MSM7088352102)
http://linked.open...vai/riv/dodaniDat	2013
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	130306
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/12:43869055
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Modelling, Prediction, Box-Jenkins, Control algorithms, Neural Network Synthesis (en)
http://linked.open.../riv/klicoveSlovo	Box-Jenkins Prediction Modelling Neural Network Synthesis Control algorithms
http://linked.open...ontrolniKodProRIV	[9B378C6332B4]
http://linked.open...v/mistoKonaniAkce	Athens
http://linked.open...i/riv/mistoVydani	Athens
http://linked.open...i/riv/nazevZdroje	Proceedings of the 6th International Conference on Applied Mathematics, Simulation, Modelling
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	2012
http://linked.open...iv/tvurceVysledku	Chramcov, Bronislav Vařacha, Pavel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-03-07 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Modeling and Control of Processing Procedures of Natural and Synthetic Polymers
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	WSEAS Press (GR)
https://schema.org/isbn	978-1-61804-076-3
http://localhost/t...ganizacniJednotka	28140
is http://linked.open...avai/riv/vysledek of	Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software