Predikce a simulace cen elektřiny

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F08%3A00018583" target="_blank" >RIV/61989100:27510/08:00018583 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

ELECTRICITY PRICE FORECASTING AND SIMULATION

Popis výsledku v původním jazyce

The business structure of the electricity generating sector is relatively easy to predict, if the environment is regulated. After the successful deregulation of some sectors, there has been movement toward deregulation and liberalization in many Europeancountries. This process has important impact on the most market participants, from the electricity generators, distributing utilities to the final consumers. As a consequence of power sector liberalization, price modeling and forecasting has emerged asan important input to a wide range of decision problems in the electricity sector. Electricity prices have become extremely volatile compared to prices in other commodity markets and choices of appropriate model for modeling and forecasting have a largeeffect on the solution to many decision problems. To find the most suitable model including deriving its parameters, the choice of appropriate set of input data that includes relevant information about behavior of electricity prices is im

Název v anglickém jazyce

ELECTRICITY PRICE FORECASTING AND SIMULATION

Popis výsledku anglicky

The business structure of the electricity generating sector is relatively easy to predict, if the environment is regulated. After the successful deregulation of some sectors, there has been movement toward deregulation and liberalization in many Europeancountries. This process has important impact on the most market participants, from the electricity generators, distributing utilities to the final consumers. As a consequence of power sector liberalization, price modeling and forecasting has emerged asan important input to a wide range of decision problems in the electricity sector. Electricity prices have become extremely volatile compared to prices in other commodity markets and choices of appropriate model for modeling and forecasting have a largeeffect on the solution to many decision problems. To find the most suitable model including deriving its parameters, the choice of appropriate set of input data that includes relevant information about behavior of electricity prices is im

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

—

Projekt

<a href="/cs/project/GP402%2F07%2FP121" target="_blank" >GP402/07/P121: Reálné opce a podmínky a možnosti jejich aplikace v odvětví energetiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Mathematical Methods in Economics

ISBN

978-80-7372-387-3

ISSN

—

e-ISSN

—

Počet stran výsledku

1

Strana od-do

—

Název nakladatele

Technická univerzita Liberec

Místo vydání

Liberec

Místo konání akce

—

Datum konání akce

—

Typ akce podle státní příslušnosti

—

Kód UT WoS článku

—