Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43869055" target="_blank" >RIV/70883521:28140/12:43869055 - 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
Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis
Original language 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 paperwe 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 socialcomponent 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
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 6th International Conference on Applied Mathematics, Simulation, Modelling
ISBN
978-1-61804-076-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
86-91
Publisher name
WSEAS Press (GR)
Place of publication
Athens
Event location
Athens
Event date
Mar 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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