ANN Synthesis for an Agglomeration Heating Power Consumption Approximation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43867243" target="_blank" >RIV/70883521:28140/11:43867243 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
ANN Synthesis for an Agglomeration Heating Power Consumption Approximation
Original language description
This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. AP is successfully applied here to evolve such ANN which is able to approximate heating power consumption of an agglomeration, in dependence on time and atmospherics temperature, more accurately than standard methods. An experiment described in the paper was realized on real life data from Most agglomeration and heating plant situated in Komořany,Czech Republic. Resulted ANN brings 19% increase of approximation accuracy.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/2C06007" target="_blank" >2C06007: Intelligent approach to energetic system control of urban agglomeration.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Researches in Automatic Control
ISBN
978-1-61804-004-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
239-244
Publisher name
WSEAS Press
Place of publication
Montreux
Event location
Lanzarote
Event date
May 27, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—