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Advanced computational techniques fo...
~
Hatti, Mustapha.
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Advanced computational techniques for renewable energy systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advanced computational techniques for renewable energy systems/ edited by Mustapha Hatti.
other author:
Hatti, Mustapha.
Published:
Cham :Springer International Publishing : : 2023.,
Description:
xv, 836 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-031-21216-1
ISBN:
9783031212161
Advanced computational techniques for renewable energy systems
Advanced computational techniques for renewable energy systems
[electronic resource] /edited by Mustapha Hatti. - Cham :Springer International Publishing :2023. - xv, 836 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 5912367-3389 ;. - Lecture notes in networks and systems ;v. 591..
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.
ISBN: 9783031212161
Standard No.: 10.1007/978-3-031-21216-1doiSubjects--Topical Terms:
595739
Computational intelligence.
LC Class. No.: Q342 / .A38 2023
Dewey Class. No.: 006.3
Advanced computational techniques for renewable energy systems
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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W9452366
電子資源
11.線上閱覽_V
電子書
EB Q342 .A38 2023
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