Uncertainty dynamics in energy planning models: An autoregressive and Markov chain modeling approach

This paper deals with the modeling of stochastic processes in long-term multi-stage energy planning problems when limited information is available about the distributions of such processes. Starting from simple estimates of variation intervals for uncertain parameters, such as energy demands and cos...

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Vydané v:	Computers & industrial engineering Ročník 191; s. 110084
Hlavní autori:	Guevara, Esnil, Babonneau, Frédéric, Homem-de-Mello, Tito
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2024
Predmet:	Autoregressive processes Energy planning Markov chains Stochastic dual dynamic programming Temporal correlation Uncertainty modeling Markov chains Stochastic dual dynamic programming Temporal correlation Uncertainty modeling Energy planning Autoregressive processes
ISSN:	0360-8352, 1879-0550
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