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%2F02%3A63500642" target="_blank" >RIV/70883521:28110/02:63500642 - 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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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