Advanced computational techniques for renewable engergy systems / Mustapha Hatti, editor.
2023
Q342
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Details
Title
Advanced computational techniques for renewable engergy systems / Mustapha Hatti, editor.
ISBN
9783031212161 (electronic bk.)
3031212169 (electronic bk.)
3031212150
9783031212154
3031212169 (electronic bk.)
3031212150
9783031212154
Publication Details
Cham, Switzerland : Springer, 2023.
Language
English
Description
1 online resource (xv, 836 pages) : illustrations (some colour).
Item Number
10.1007/978-3-031-21216-1 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
Note
Includes author index.
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Source of Description
Description based on print version record.
Added Author
Hatti, Mustapha. editor.
Series
Lecture notes in networks and systems ; 591. 2367-3389
Available in Other Form
Print version: 9783031212154
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