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Author: Jaeseok Choi
Publisher: John Wiley & Sons
ISBN: 1119684196
Category : Technology & Engineering
Languages : en
Pages : 516
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Book Description
Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems Discover how modern techniques have shaped complex power system expansion planning with this one-stop resource from two experts in the field Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems delivers a comprehensive collection of innovative approaches to the probabilistic planning of generation and transmission systems under uncertainties. The book includes renewables and energy storage calculations when using probabilistic and deterministic reliability techniques to assess system performance from a long-term expansion planning viewpoint. Divided into two sections, the book first covers topics related to Generation Expansion Planning, with chapters on cost assessment, methodology and optimization, and more. The second and final section provides information on Transmission System Expansion Planning, with chapters on reliability constraints, probabilistic production cost simulation, and more. Probabilistic Power System Expansion Planning compares the optimization and methodology across dynamic, linear, and integer programming and explores the branch and bound algorithm. Along with case studies to demonstrate how the techniques described within have been applied in complex power system expansion planning problems, readers will enjoy: A thorough discussion of generation expansion planning, including cost assessment, methodology and optimization, and probabilistic production cost An exploration of transmission system expansion planning, including the branch and bound algorithm, probabilistic production cost simulation for TEP, and TEP with reliability constraints An examination of fuzzy decision making applied to transmission system expansion planning A treatment of probabilistic reliability-based grid expansion planning of power systems including wind turbine generators Perfect for power and energy systems designers, planners, operators, consultants, practicing engineers, software developers, and researchers, Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems will also earn a place in the libraries of practicing engineers who regularly deal with optimization problems.
Author: Kwame Alexander
Publisher: Houghton Mifflin Harcourt
ISBN: 0544107713
Category : Juvenile Nonfiction
Languages : en
Pages : 245
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Book Description
New York Times bestseller ∙ Newbery Medal Winner ∙Coretta Scott King Honor Award ∙2015 YALSA 2015 Top Ten Best Fiction for Young Adults∙ 2015 YALSA Quick Picks for Reluctant Young Adult Readers ∙Publishers Weekly Best Book ∙ School Library Journal Best Book∙ Kirkus Best Book "A beautifully measured novel of life and line."--The New York Times Book Review "With a bolt of lightning on my kicks . . .The court is SIZZLING. My sweat is DRIZZLING. Stop all that quivering. Cuz tonight I'm delivering, " announces dread-locked, 12-year old Josh Bell. He and his twin brother Jordan are awesome on the court. But Josh has more than basketball in his blood, he's got mad beats, too, that tell his family's story in verse, in this fast and furious middle grade novel of family and brotherhood from Kwame Alexander. Josh and Jordan must come to grips with growing up on and off the court to realize breaking the rules comes at a terrible price, as their story's heart-stopping climax proves a game-changer for the entire family.
Author: Jaeseok Choi
Publisher: John Wiley & Sons
ISBN: 1119684196
Category : Technology & Engineering
Languages : en
Pages : 516
Get Book Here
Book Description
Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems Discover how modern techniques have shaped complex power system expansion planning with this one-stop resource from two experts in the field Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems delivers a comprehensive collection of innovative approaches to the probabilistic planning of generation and transmission systems under uncertainties. The book includes renewables and energy storage calculations when using probabilistic and deterministic reliability techniques to assess system performance from a long-term expansion planning viewpoint. Divided into two sections, the book first covers topics related to Generation Expansion Planning, with chapters on cost assessment, methodology and optimization, and more. The second and final section provides information on Transmission System Expansion Planning, with chapters on reliability constraints, probabilistic production cost simulation, and more. Probabilistic Power System Expansion Planning compares the optimization and methodology across dynamic, linear, and integer programming and explores the branch and bound algorithm. Along with case studies to demonstrate how the techniques described within have been applied in complex power system expansion planning problems, readers will enjoy: A thorough discussion of generation expansion planning, including cost assessment, methodology and optimization, and probabilistic production cost An exploration of transmission system expansion planning, including the branch and bound algorithm, probabilistic production cost simulation for TEP, and TEP with reliability constraints An examination of fuzzy decision making applied to transmission system expansion planning A treatment of probabilistic reliability-based grid expansion planning of power systems including wind turbine generators Perfect for power and energy systems designers, planners, operators, consultants, practicing engineers, software developers, and researchers, Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems will also earn a place in the libraries of practicing engineers who regularly deal with optimization problems.
Author: American Railway Engineering and Maintenance-of-Way Association
Publisher:
ISBN:
Category : Railroad engineering
Languages : en
Pages : 842
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Book Description
Author:
Publisher:
ISBN:
Category : Railroads
Languages : en
Pages : 530
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Book Description
Author:
Publisher:
ISBN:
Category : Genetics
Languages : en
Pages : 480
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Book Description
Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 780
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Book Description
Vols. for 1887-1946 include the preprint pages of the institute's Transactions.
Author:
Publisher:
ISBN:
Category : Railroads
Languages : en
Pages : 568
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Book Description
Author:
Publisher:
ISBN:
Category : Railroads
Languages : en
Pages : 438
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Book Description
Author: George Harrison Shull
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 694
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Book Description
Genetics accepts contributions that present the results of original research in genetics and related scientific disciplines.
Author: Maoguo Gong
Publisher: Springer
ISBN: 9811045585
Category : Computers
Languages : en
Pages : 293
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Book Description
This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.
