Electricity consumption modelling: a case of Germany
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F16%3A00459223" target="_blank" >RIV/00216208:11640/16:00459223 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.econmod.2016.02.010" target="_blank" >http://dx.doi.org/10.1016/j.econmod.2016.02.010</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.econmod.2016.02.010" target="_blank" >10.1016/j.econmod.2016.02.010</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Electricity consumption modelling: a case of Germany
Popis výsledku v původním jazyce
Recent research has found that electricity consumption is a very useful variable in economics. In many applications it might be desirable to decompose electricity consumption into unpredictable and deterministic (or highly predictable) component. We want to find out whether forecasting works better if we model electricity load independently for each hour or if we model in the first step the average daily consumption and in a second step we model for each hour deviation from this average. We therefore compare two simple, yet flexible models for hourly electricity consumption in Germany. Both models use temperature, industrial production, hours of daylight and dummies for days of the week and month of the year as explanatory variables. We find that the first model, despite being simpler, forecasts hourly electricity demand more precisely. This indicates that hourly electricity consumption represents various goods, and should be modelled separately for each hour.
Název v anglickém jazyce
Electricity consumption modelling: a case of Germany
Popis výsledku anglicky
Recent research has found that electricity consumption is a very useful variable in economics. In many applications it might be desirable to decompose electricity consumption into unpredictable and deterministic (or highly predictable) component. We want to find out whether forecasting works better if we model electricity load independently for each hour or if we model in the first step the average daily consumption and in a second step we model for each hour deviation from this average. We therefore compare two simple, yet flexible models for hourly electricity consumption in Germany. Both models use temperature, industrial production, hours of daylight and dummies for days of the week and month of the year as explanatory variables. We find that the first model, despite being simpler, forecasts hourly electricity demand more precisely. This indicates that hourly electricity consumption represents various goods, and should be modelled separately for each hour.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AH - Ekonomie
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Economic Modelling
ISSN
0264-9993
e-ISSN
—
Svazek periodika
55
Číslo periodika v rámci svazku
June
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
10
Strana od-do
92-101
Kód UT WoS článku
000375164200009
EID výsledku v databázi Scopus
2-s2.0-84960908856