Prediction of the Heat Supply Daily Diagram via Artificial Neural Network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F03%3A63501789" target="_blank" >RIV/70883521:28110/03:63501789 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Prediction of the Heat Supply Daily Diagram via Artificial Neural Network

Original language description

The paper deals with the possibility of utilization of Heat Supply Daily Diagram (HSDD) forecast for the control of District Heating System (DHS), especially for the control of hot-water piping heat output. We focus on involvement of external meteorological influences on the shape of HSDD, such as air temperature, wind velocity and air pressure. Inclusion of these weather influences results in improvement of HSDD forecast. This article presents the utilization of the artificial neural network models forprediction of HSDD.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JE - Non-nuclear power engineering, energy consumption and utilization

OECD FORD branch

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Project

<a href="/en/project/GA101%2F01%2F0345" target="_blank" >GA101/01/0345: Cost effective and environmental operation of district heating systems by means of new advanced control algorithms</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 4th International Carpathian Control Conference ICCC 2003

ISBN

80-7099-509-2

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

703-706

Publisher name

Technická univerzita v Košiciach

Place of publication

Košice

Event location

Tatranská Lomnica

Event date

May 26, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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