Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00348314" target="_blank" >RIV/67985807:_____/10:00348314 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution
Popis výsledku v původním jazyce
We describe a statistical model which was developed from first principles and from empirical behavior of real data to characterize the relationship between the consumption of natural gas and temperature in several segments of a typical gas utility company's customer pool. Specifically, we will deal with household and small+medium (HOU+SMC) size commercial customers. The model is suitable for disaggregation of various observed functionals of the observed consumption process into smaller pieces, e.g. disaggregation of sums across both individual customers and time into original components. This amounts to (semiparametric statistical) estimation of the individual pieces and/or subsequent synthesis into other functionals of interest. The model is built asa GAM (generalized additive model) with a nonlinear temperature response and it has quite rich dynamic component. We formulate the model first in generality and then we illustrate its behavior on real data from a large scale project.
Název v anglickém jazyce
Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution
Popis výsledku anglicky
We describe a statistical model which was developed from first principles and from empirical behavior of real data to characterize the relationship between the consumption of natural gas and temperature in several segments of a typical gas utility company's customer pool. Specifically, we will deal with household and small+medium (HOU+SMC) size commercial customers. The model is suitable for disaggregation of various observed functionals of the observed consumption process into smaller pieces, e.g. disaggregation of sums across both individual customers and time into original components. This amounts to (semiparametric statistical) estimation of the individual pieces and/or subsequent synthesis into other functionals of interest. The model is built asa GAM (generalized additive model) with a nonlinear temperature response and it has quite rich dynamic component. We formulate the model first in generality and then we illustrate its behavior on real data from a large scale project.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
JE - Nejaderná energetika, spotřeba a užití energie
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/1ET400300513" target="_blank" >1ET400300513: Matematické modelování spotřeby zemního plynu zákazníků s malým a středním odběrem</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Natural Gas
ISBN
978-953-307-112-1
Počet stran výsledku
24
Strana od-do
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Počet stran knihy
606
Název nakladatele
Sciyo
Místo vydání
Rijeka
Kód UT WoS kapitoly
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