Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Add to basketGebunden. Condition: New. Provides research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. This book features coverage on a broad range of topics such as hybridization algorithm, power system modeling, .
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Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's society, modern power grids are driven closer to transfer capacities due to increased consumption and power transfers, endangering the security of the systems. Providing methods in controlling variables to minimize costs, transmission loss, and voltage deviation of power system operation yields valuable economic information and insight into power flow. Optimal Power Flow Using Evolutionary Algorithms provides emerging research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. Featuring coverage on a broad range of topics such as hybridization algorithm, power system modeling, and transmission systems, this book is ideally designed for engineers, power system developers, academicians, and researchers seeking current research on emerging techniques in achieving quality power under normal operating conditions.
Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 323 pages. 10.00x7.00x0.94 inches. In Stock. This item is printed on demand.