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Optimization Models for Electricity ...

Moarefdoost, M. Mohsen.

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Optimization Models for Electricity Networks and Renewable Energy under Uncertainty.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization Models for Electricity Networks and Renewable Energy under Uncertainty./
Author:	Moarefdoost, M. Mohsen.
Description:	162 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.
Contained By:	Dissertation Abstracts International76-11B(E).
Subject:	Industrial engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3715958
ISBN:	9781321942996

Optimization Models for Electricity Networks and Renewable Energy under Uncertainty.
Moarefdoost, M. Mohsen.

Optimization Models for Electricity Networks and Renewable Energy under Uncertainty. - 162 p.

Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.

Thesis (Ph.D.)--Lehigh University, 2015.

This work focuses on developing optimization models and algorithms to solve problems in electricity networks and renewable energy. The steady rise of electricity demand in the world, along with the deployment of volatile renewable energy resources in greater quantities, will require many researchers, policymakers, and other stakeholders in the field of power management to understand these challenges and use new methods, approaches and technologies to modernize the electric grid. We study reliable and efficient electricity dispatch with minimum costs in power networks and efficient and economic harvesting of ocean wave energy by optimizing wave farm configuration.

ISBN: 9781321942996Subjects--Topical Terms:

526216
Industrial engineering.

Optimization Models for Electricity Networks and Renewable Energy under Uncertainty.
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245 1 0 $a Optimization Models for Electricity Networks and Renewable Energy under Uncertainty.
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500 $a Source: Dissertation Abstracts International, Volume: 76-11(E), Section: B.
500 $a Adviser: Lawrence V. Snyder.
502 $a Thesis (Ph.D.)--Lehigh University, 2015.
520 $a This work focuses on developing optimization models and algorithms to solve problems in electricity networks and renewable energy. The steady rise of electricity demand in the world, along with the deployment of volatile renewable energy resources in greater quantities, will require many researchers, policymakers, and other stakeholders in the field of power management to understand these challenges and use new methods, approaches and technologies to modernize the electric grid. We study reliable and efficient electricity dispatch with minimum costs in power networks and efficient and economic harvesting of ocean wave energy by optimizing wave farm configuration.
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650 4 $a Industrial engineering. $3 526216
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