Artificial Neural Networks for Renewable Energy Systems and Real-World Applications PDF Download
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Author: Ammar Hamed Elsheikh
Publisher: Academic Press
ISBN: 0128231866
Category : Technology & Engineering
Languages : en
Pages : 290
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Book Description
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis. - Includes illustrative examples on the design and development of ANNS for renewable and manufacturing applications - Features computer-aided simulations presented as algorithms, pseudocodes and flowcharts - Covers ANN theory for easy reference in subsequent technology specific sections
Author: Ammar Hamed Elsheikh
Publisher: Academic Press
ISBN: 0128231866
Category : Technology & Engineering
Languages : en
Pages : 290
Get Book Here
Book Description
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis. - Includes illustrative examples on the design and development of ANNS for renewable and manufacturing applications - Features computer-aided simulations presented as algorithms, pseudocodes and flowcharts - Covers ANN theory for easy reference in subsequent technology specific sections
Author: Rabindra Nath Shaw
Publisher: Academic Press
ISBN: 0323984010
Category : Technology & Engineering
Languages : en
Pages : 248
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Book Description
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data
Author: Mohamed Arezki Mellal
Publisher: Engineering Science Reference
ISBN: 9781799885610
Category :
Languages : en
Pages :
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Book Description
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
Author: Ashutosh Kumar Dubey
Publisher: Elsevier
ISBN: 0443289484
Category : Technology & Engineering
Languages : en
Pages : 389
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Book Description
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
Author: Mir Sayed Shah Danish
Publisher: Springer Nature
ISBN: 303153574X
Category :
Languages : en
Pages : 193
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Book Description
Author: A. A. M. Sayigh
Publisher: Elsevier
ISBN: 0080540511
Category : Science
Languages : en
Pages : 634
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Book Description
The World Renewable Energy Congress is a key event at the start of the 21st century.It is a vital forum for researchers with an interest in helping renewables to reach their full potential. The effects of global warming and pollution are becoming more apparent for all to see - and the development of renewable solutions to these problems is increasingly important globally.If you were unable to attend the conference, the proceedings will provide an invaluable comprehensive summary of the latest topics and papers.
Author: Soteris Kalogirou
Publisher: Nova Publishers
ISBN: 9781600212611
Category : Computers
Languages : en
Pages : 488
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Book Description
This book presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. It covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities dealing with modelling and performance prediction of energy and renewable energy systems.
Author: Ruiz-Vanoye, Jorge A.
Publisher: IGI Global
ISBN:
Category : Political Science
Languages : en
Pages : 363
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Book Description
Rapid urbanization poses significant challenges for cities worldwide, demanding sustainable development solutions. However, traditional city management approaches often struggle to address the complex interplay of economic growth, technology, and environmental considerations. The lack of comprehensive guidance and practical strategies hinders the establishment of smart and sustainable cities, putting long-term urban sustainability and the well-being of present and future generations at risk. Management, Technology, and Economic Growth in Smart and Sustainable Cities provides a timely and essential solution to the intricate challenges faced by urban areas. Edited by renowned academic scholar Jorge Ruiz Vanoye, this book features practical contributions from experts across diverse fields. By leveraging mathematical modeling, artificial intelligence, and advanced technologies, it offers tangible strategies and insights for the optimal management of smart and sustainable cities. Ideal for professionals, researchers, and executives involved in smart and sustainable city development, this book covers key topics such as smart governance, energy, healthcare, transportation, education, farming, industry, environment, and society. It equips readers with practical guidance and innovative solutions, empowering them to navigate the complexities of modern urban management, drive efficient resource utilization, enhance the quality of life, and foster sustainable economic growth.
Author: Mellal, Mohamed Arezki
Publisher: IGI Global
ISBN: 1799885631
Category : Technology & Engineering
Languages : en
Pages : 326
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Book Description
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
Author: Ahmad Taher Azar
Publisher: Academic Press
ISBN: 0323859917
Category : Technology & Engineering
Languages : en
Pages : 762
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Book Description
Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design - Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods - Includes new circuits and systems, helping researchers solve many nonlinear problems
