Nové aspekty využití MRK modelu pro krátkodobou prognózu v energetické soustavě

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00018881" target="_blank" >RIV/61989100:27240/08:00018881 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The new aspects using MRK model for short-term load forecasting in the power system

Popis výsledku v původním jazyce

Forecasting the demand for electrical energy is of crucial importance for distribution companies. The demands of energy market provide economical incentives to seek more and more precise forecasts. The forecasting techniques used in practice are varied:next to general-application statistical and forecasting packages with large freedom of modelling there exist a number of specific models, based on various methods and algorithms, which are suited to individual needs. A number of such models employ time series. Applied for forecasting in Polish local systems, they involve a mean forecast error at the level of 3 - 7 %, depending on the specific characteristics of users. There are a great number of factors affecting the accuracy of a model, such as the selection of explanatory variables, colinearity of variables, seasonal or temporary character of trends, the occurance of the steady state, and other factors. The requirements that the variables have to meet also depend on the type of model

Název v anglickém jazyce

The new aspects using MRK model for short-term load forecasting in the power system

Popis výsledku anglicky

Forecasting the demand for electrical energy is of crucial importance for distribution companies. The demands of energy market provide economical incentives to seek more and more precise forecasts. The forecasting techniques used in practice are varied:next to general-application statistical and forecasting packages with large freedom of modelling there exist a number of specific models, based on various methods and algorithms, which are suited to individual needs. A number of such models employ time series. Applied for forecasting in Polish local systems, they involve a mean forecast error at the level of 3 - 7 %, depending on the specific characteristics of users. There are a great number of factors affecting the accuracy of a model, such as the selection of explanatory variables, colinearity of variables, seasonal or temporary character of trends, the occurance of the steady state, and other factors. The requirements that the variables have to meet also depend on the type of model

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Sborník z 9. mezinárodní vědecké konference EPE 2008

ISBN

978-80-214-3650-3

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

VUT Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

13. 5. 2008

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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