Advanced Computational Techniques for Renewable Energy Systems
Advanced Computational Techniques for Renewable Energy Systems [electronic resource] /
edited by Mustapha Hatti.
- 1st ed. 2023.
- XV, 836 p. 641 illus., 526 illus. in color. online resource.
- Lecture Notes in Networks and Systems, 591 2367-3389 ; .
- Lecture Notes in Networks and Systems, 591 .
Acceso multiusuario
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.
9783031212161
Computational intelligence.
Energy policy.
Energy and state.
Renewable energy sources.
Artificial intelligence.
Computational Intelligence.
Energy Policy, Economics and Management.
Renewable Energy.
Artificial Intelligence.
Q342
006.3
Acceso multiusuario
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.
9783031212161
Computational intelligence.
Energy policy.
Energy and state.
Renewable energy sources.
Artificial intelligence.
Computational Intelligence.
Energy Policy, Economics and Management.
Renewable Energy.
Artificial Intelligence.
Q342
006.3
