Simulation modeling and optimization of competitive electricity markets and stochastic fluid systems

O. Ozdemir

Simulation modeling and optimization of competitive electricity markets and stochastic fluid systems

O. Ozdemir

Research output: Thesis › Doctoral Thesis

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Abstract

The second part of the thesis focuses on a different stochastic problem of finding the optimal hedging points in a manufacturing flow control system. Our simulation-based method allows solving large scale systems that are considered very difficult to solve by current standards in the literature.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Tilburg University
Supervisors/Advisors	Gurkan, Gul, Co-promotor den Hertog, Dick, Promotor smeers, Y., Promotor, External person
Award date	22 Feb 2013
Place of Publication	Tilburg
Publisher	CentER, Center for Economic Research
Print ISBNs	9789056683450
Publication status	Published - 2013

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title = "Simulation modeling and optimization of competitive electricity markets and stochastic fluid systems",

abstract = "The second part of the thesis focuses on a different stochastic problem of finding the optimal hedging points in a manufacturing flow control system. Our simulation-based method allows solving large scale systems that are considered very difficult to solve by current standards in the literature.",

author = "O. Ozdemir",

year = "2013",

language = "English",

isbn = "9789056683450",

series = "CentER Dissertation Series",

publisher = "CentER, Center for Economic Research",

school = "Tilburg University",

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TY - BOOK

T1 - Simulation modeling and optimization of competitive electricity markets and stochastic fluid systems

AU - Ozdemir, O.

PY - 2013

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N2 - The second part of the thesis focuses on a different stochastic problem of finding the optimal hedging points in a manufacturing flow control system. Our simulation-based method allows solving large scale systems that are considered very difficult to solve by current standards in the literature.

AB - The second part of the thesis focuses on a different stochastic problem of finding the optimal hedging points in a manufacturing flow control system. Our simulation-based method allows solving large scale systems that are considered very difficult to solve by current standards in the literature.

M3 - Doctoral Thesis

SN - 9789056683450

T3 - CentER Dissertation Series

PB - CentER, Center for Economic Research

CY - Tilburg

ER -

Simulation modeling and optimization of competitive electricity markets and stochastic fluid systems

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