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Advanced Computational Techniques for Renewable Energy Systems
Details
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.
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
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031212154
- Genre Technology Encyclopedias
- Auflage 23001 A. 1st edition 2023
- Editor Mustapha Hatti
- Lesemotiv Verstehen
- Anzahl Seiten 852
- Herausgeber Springer
- Größe H235mm x B155mm x T46mm
- Jahr 2023
- EAN 9783031212154
- Format Kartonierter Einband (Kt)
- ISBN 3031212150
- Veröffentlichung 15.02.2023
- Titel Advanced Computational Techniques for Renewable Energy Systems
- Untertitel Lecture Notes in Networks and Systems 591
- Gewicht 1264g
- Sprache Englisch