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Applications of nature-inspired computing in renewable energy systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of nature-inspired computing in renewable energy systemsMohamed Arezki Mellal.
other author:	Mellal, Mohamed Arezki.
Published:	Hershey PA :Engineering Science Reference,2022
Description:	1 online resource (xv, 326 p.)
Subject:	Renewable energy sourcesData processing.
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8561-0
ISBN:	9781799885634 (ebk.)

Applications of nature-inspired computing in renewable energy systems
Applications of nature-inspired computing in renewable energy systems[electronic resource] /Mohamed Arezki Mellal. - Hershey PA :Engineering Science Reference,2022 - 1 online resource (xv, 326 p.) - Advances in environmental engineering and green technologies (AEEGT) book series.

Includes bibliographical references (p. 277-318) and index.

"This book discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain such as microgrids, wind power, and artificial neural networks"--

ISBN: 9781799885634 (ebk.)

LCCN: 2021055372Subjects--Topical Terms:

524598
Renewable energy sources
--Data processing.

LC Class. No.: TJ808 / .A66 2022

Dewey Class. No.: 621.042

Applications of nature-inspired computing in renewable energy systems
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245 0 0 $a Applications of nature-inspired computing in renewable energy systems $h [electronic resource] / $c Mohamed Arezki Mellal.
260 $a Hershey PA : $b Engineering Science Reference, $c 2022
300 $a 1 online resource (xv, 326 p.)
490 0 $a Advances in environmental engineering and green technologies (AEEGT) book series
504 $a Includes bibliographical references (p. 277-318) and index.
520 $a "This book discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain such as microgrids, wind power, and artificial neural networks"-- $c Provided by publisher.
650 0 $a Renewable energy sources $x Data processing. $3 524598
650 0 $a Natural computation $x Industrial applications. $3 927421
700 1 $a Mellal, Mohamed Arezki. $3 900128
856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8561-0

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EB TJ808 .A66 2022 2022

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https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8561-0

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