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Advanced Computational Techniques for Renewable Energy Systems: Lecture Notes in Networks and Systems, cartea 591

Editat de Mustapha Hatti
en Limba Engleză Paperback – 15 feb 2023
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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Specificații

ISBN-13: 9783031212154
ISBN-10: 3031212150
Pagini: 836
Ilustrații: XV, 836 p. 641 illus., 526 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.17 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

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.


Caracteristici

Includes recent research on Artificial Intelligence in Renewable Energetic Systems Features the proceedings of the 6th International Conference on Artificial Intelligence in Renewable Energetic Systems Written by experts in the field