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Robust optimization in electric ener...

Sun, Xu Andy.

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Robust optimization in electric energy systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust optimization in electric energy systems/ by Xu Andy Sun, Antonio J. Conejo.
Author:	Sun, Xu Andy.
other author:	Conejo, Antonio J.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	x, 329 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Decision Making under Uncertainty in the Power Sector -- Chapter 2: Static Robust Optimization -- Chapter 3: Adaptive Robust Optimization -- Chapter 4: Distributionally Robust Optimization -- Chapter 5: Hybrid Adaptive Robust Optimization Models -- Chapter 6: Robust Optimization in Short-Term Power System Operations -- Chapter 7: Medium-Term Planning Models -- Chapter 8: Long-Term Planning Models.
Contained By:	Springer Nature eBook
Subject:	Robust optimization. -
Online resource:	https://doi.org/10.1007/978-3-030-85128-6
ISBN:	9783030851286

Robust optimization in electric energy systems
Sun, Xu Andy.

Robust optimization in electric energy systems[electronic resource] /by Xu Andy Sun, Antonio J. Conejo. - Cham :Springer International Publishing :2021. - x, 329 p. :ill., digital ;24 cm. - International series in operations research & management science,3132214-7934 ;. - International series in operations research & management science ;313..

Chapter 1: Decision Making under Uncertainty in the Power Sector -- Chapter 2: Static Robust Optimization -- Chapter 3: Adaptive Robust Optimization -- Chapter 4: Distributionally Robust Optimization -- Chapter 5: Hybrid Adaptive Robust Optimization Models -- Chapter 6: Robust Optimization in Short-Term Power System Operations -- Chapter 7: Medium-Term Planning Models -- Chapter 8: Long-Term Planning Models.

This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a friendly and tutorial manner. Finally, a number of insightful short- and long-term applications pertaining to the electricity sector are considered. Specifically, the book includes: robust set characterization, robust optimization, adaptive robust optimization, hybrid robust-stochastic optimization, applications to short- and medium-term operations problems in the electricity sector, and applications to long-term investment problems in the electricity sector. Each chapter contains end-of-chapter problems, making it suitable for use as a text. The purpose of the book is to provide a self-contained overview of robust optimization techniques for decision making under uncertainty in the electricity sector. The targeted audience includes industrial and power engineering students and practitioners in energy fields. The young field of robust optimization is reaching maturity in many respects. It is also useful for practitioners, as it provides a number of electricity industry applications described up to working algorithms (in JuliaOpt)

ISBN: 9783030851286

Standard No.: 10.1007/978-3-030-85128-6doiSubjects--Topical Terms:

1047884
Robust optimization.

LC Class. No.: QA402.5 / .S85 2021

Dewey Class. No.: 519.6

Robust optimization in electric energy systems
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505 0 $a Chapter 1: Decision Making under Uncertainty in the Power Sector -- Chapter 2: Static Robust Optimization -- Chapter 3: Adaptive Robust Optimization -- Chapter 4: Distributionally Robust Optimization -- Chapter 5: Hybrid Adaptive Robust Optimization Models -- Chapter 6: Robust Optimization in Short-Term Power System Operations -- Chapter 7: Medium-Term Planning Models -- Chapter 8: Long-Term Planning Models.
520 $a This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a friendly and tutorial manner. Finally, a number of insightful short- and long-term applications pertaining to the electricity sector are considered. Specifically, the book includes: robust set characterization, robust optimization, adaptive robust optimization, hybrid robust-stochastic optimization, applications to short- and medium-term operations problems in the electricity sector, and applications to long-term investment problems in the electricity sector. Each chapter contains end-of-chapter problems, making it suitable for use as a text. The purpose of the book is to provide a self-contained overview of robust optimization techniques for decision making under uncertainty in the electricity sector. The targeted audience includes industrial and power engineering students and practitioners in energy fields. The young field of robust optimization is reaching maturity in many respects. It is also useful for practitioners, as it provides a number of electricity industry applications described up to working algorithms (in JuliaOpt)
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