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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F12%3A43868542%21RIV13-MSM-28140___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
This article deals with the prediction of heat requirements for the urban agglomeration and problems linked with calculation which is based on historical data. In previous articles were described algorithms and subsequent experiments identifying heat needs. Algorithms focused on seeking the days with similar behavior. These algorithms encounter gaps in the expected pattern and pattern contained in historical data. Determining similarity of the days based on outdoor temperature compliance is fairly inappropriate. It is necessary to take into account many other factors. The primary limitation is the time interval where the day can be searched. With regard to building insulation and general energy saving efforts have shown that the use of records from far distance such as previous years is very limited. Absolute amount of energy and often also the consumption pattern significantly differ. These limitations are shrinking space for finding a perfect match. This article will show one possible way, which can be effectively used to increase the accuracy of the heat prediction based on similar day seeking algorithms. Besides the processing of the most suitable data in identification algorithm the system was extended to correct the calculated heat needs depending on the differences between predicted and measured values from the past. This article deals with the prediction of heat requirements for the urban agglomeration and problems linked with calculation which is based on historical data. In previous articles were described algorithms and subsequent experiments identifying heat needs. Algorithms focused on seeking the days with similar behavior. These algorithms encounter gaps in the expected pattern and pattern contained in historical data. Determining similarity of the days based on outdoor temperature compliance is fairly inappropriate. It is necessary to take into account many other factors. The primary limitation is the time interval where the day can be searched. With regard to building insulation and general energy saving efforts have shown that the use of records from far distance such as previous years is very limited. Absolute amount of energy and often also the consumption pattern significantly differ. These limitations are shrinking space for finding a perfect match. This article will show one possible way, which can be effectively used to increase the accuracy of the heat prediction based on similar day seeking algorithms. Besides the processing of the most suitable data in identification algorithm the system was extended to correct the calculated heat needs depending on the differences between predicted and measured values from the past.
dcterms:title
Correction in heat prediction depending on the deviation of forecasts and a historical data with similar pattern of outside temperature Correction in heat prediction depending on the deviation of forecasts and a historical data with similar pattern of outside temperature
skos:prefLabel
Correction in heat prediction depending on the deviation of forecasts and a historical data with similar pattern of outside temperature Correction in heat prediction depending on the deviation of forecasts and a historical data with similar pattern of outside temperature
skos:notation
RIV/70883521:28140/12:43868542!RIV13-MSM-28140___
n14:predkladatel
n20:orjk%3A28140
n5:aktivita
n12:P
n5:aktivity
P(ED2.1.00/03.0089)
n5:dodaniDat
n15:2013
n5:domaciTvurceVysledku
n9:3804089 n9:2146118
n5:druhVysledku
n7:D
n5:duvernostUdaju
n16:S
n5:entitaPredkladatele
n17:predkladatel
n5:idSjednocenehoVysledku
128840
n5:idVysledku
RIV/70883521:28140/12:43868542
n5:jazykVysledku
n6:eng
n5:klicovaSlova
Consumption, distribution, heat, similar day, prediction
n5:klicoveSlovo
n8:similar%20day n8:Consumption n8:distribution n8:prediction n8:heat
n5:kontrolniKodProRIV
[960E9F55A939]
n5:mistoKonaniAkce
Kos Island
n5:mistoVydani
Kos
n5:nazevZdroje
Proceedings of the 16th WSEAS International Conference on Systems
n5:obor
n21:JE
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n18:ED2.1.00%2F03.0089
n5:rokUplatneniVysledku
n15:2012
n5:tvurceVysledku
Dolinay, Viliam Vašek, Lubomír
n5:typAkce
n22:WRD
n5:zahajeniAkce
2012-07-14+02:00
s:numberOfPages
4
n4:hasPublisher
WSEAS Press (GR)
n19:isbn
978-1-61804-108-1
n10:organizacniJednotka
28140