TY  - BOOK
AU  - Hatti,Mustapha
ED  - SpringerLink (Online service)
TI  - Advanced Computational Techniques for Renewable Energy Systems
T2  - Lecture Notes in Networks and Systems,
SN  - 9783031212161
AV  - Q342 
U1  - 006.3 23
PY  - 2023///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computational intelligence
KW  - Energy policy
KW  - Energy and state
KW  - Renewable energy sources
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Energy Policy, Economics and Management
KW  - Renewable Energy
KW  - Artificial Intelligence
N1  - Acceso multiusuario
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-21216-1
ER  -