June 14, 2021

Download Ebook Free Artificial Neural Networks For Renewable Energy Systems And Manufacturing Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications
Author : Ammar Hamed Elsheikh,Mohamed Abd Elaziz
Publisher : Academic Press
Release Date : 2021-06-01
Category : Technology & Engineering
Total pages :500
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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modelling, analysis, and optimization of different energy systems and manufacturing processes. The applications of Artificial Neural Networks (ANN) in different engineering disciplines have attracted the attention of researchers to solve complex engineering problems that cannot be solved through conventional methods. 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 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 system and manufacturing process analysis. Includes illustrative examples of 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

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications
Author : Ammar Hamed Elsheikh,Mohamed Abd Elaziz
Publisher : Academic Press
Release Date : 2021-06-15
Category : Technology & Engineering
Total pages :500
GET BOOK

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modelling, analysis, and optimization of different energy systems and manufacturing processes. The applications of Artificial Neural Networks (ANN) in different engineering disciplines have attracted the attention of researchers to solve complex engineering problems that cannot be solved through conventional methods. 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 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 system and manufacturing process analysis. Includes illustrative examples of 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

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
Author : Soteris Kalogirou
Publisher : Nova Publishers
Release Date : 2007
Category : Science
Total pages :471
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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.

Soft Computing in Green and Renewable Energy Systems

Soft Computing in Green and Renewable Energy Systems
Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer
Release Date : 2011-08-20
Category : Technology & Engineering
Total pages :305
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Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

Assessment and Simulation Tools for Sustainable Energy Systems

Assessment and Simulation Tools for Sustainable Energy Systems
Author : Fausto Cavallaro
Publisher : Springer Science & Business Media
Release Date : 2013-08-13
Category : Science
Total pages :427
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In recent years, the concept of energy has been revised and a new model based on the principle of sustainability has become more and more pervasive. The appraisal of energy technologies and projects is complex and uncertain as the related decision making has to encompass environmental, technical, economic and social factors and information sources. The scientific procedure of assessment has a vital role as it can supply the right tools to evaluate the actual situation and make realistic forecasts of the effects and outcomes of any actions undertaken. Assessment and Simulation Tools for Sustainable Energy Systems offers reviews of the main assessment and simulation methods used for effective energy assessment. Divided across three sections, Assessment and Simulation Tools for Sustainable Energy Systems develops the reader’s ability to select suitable tools to support decision making and implementation of sustainable energy projects. The first is dedicated to the analysis of theoretical foundations and applications of multi-criteria decision making. This is followed by chapters concentrating on the theory and practice of fuzzy inference, neural nets and algorithms genetics. Finally, simulation methods such as Monte Carlo analysis, mathematical programming and others are detailed. This comprehensive illustration of these tools and their application makes Assessment and Simulation Tools for Sustainable Energy Systems a key guide for researchers, scientists, managers, politicians and industry professionals developing the field of sustainable energy systems. It may also prompt further advancements in soft computing and simulation issues for students and researchers.

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies
Author : Anwar, Sohail
Publisher : IGI Global
Release Date : 2012-08-31
Category : Science
Total pages :614
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The last ten years have seen rapid advances in nanoscience and nanotechnology, allowing unprecedented manipulation of the nanoscale structures controlling solar capture, conversion, and storage. Filled with cutting-edge solar energy research and reference materials, the Handbook of Research on Solar Energy Systems and Technologies serves as a one-stop resource for the latest information regarding different topical areas within solar energy. This handbook will emphasize the application of nanotechnology innovations to solar energy technologies, explore current and future developments in third generation solar cells, and provide a detailed economic analysis of solar energy applications.

Renewable Energy Focus e-Mega Handbook

Renewable Energy Focus e-Mega Handbook
Author : Bent Sørensen,Paul Breeze,Galen J. Suppes,Nasir El Bassam,Dr. Semida Silveira,Shang-Tian Yang,Aldo V. da Rosa,Harsh K. Gupta,Sukanta Roy,Mukesh Doble,Michel Broussely,Preben Maegaard,Frano Barbir,Gianfranco Pistoia,Soteris Kalogirou,Truman Storvick
Publisher : Academic Press
Release Date : 2008-12-29
Category : Science
Total pages :528
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A one-stop Desk Reference, for engineers involved in renewable energies; this is a book that will not gather dust on the shelf. It brings together the essential professional reference content from leading international contributors in the field. Material ranges from basic to advanced topics * A fully searchable Mega Reference Ebook, providing all the essential material needed by Energy and Environmental Engineers on a day-to-day basis. * Fundamentals, key techniques, engineering best practice and rules-of-thumb together in one quick-reference. * Over 2,500 pages of reference material, including over 1,500 pages not included in the print edition

Artificial Intelligence in Renewable Energetic Systems

Artificial Intelligence in Renewable Energetic Systems
Author : Mustapha Hatti
Publisher : Springer
Release Date : 2018-03-12
Category : Computers
Total pages :531
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This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publisher : Springer
Release Date : 2021-05-13
Category : Technology & Engineering
Total pages :109
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This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. 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 engaged in the study and performance prediction of renewable energy systems.

Recent GRC Aerospace Technologies Applicable to Terrestrial Energy Systems

Recent GRC Aerospace Technologies Applicable to Terrestrial Energy Systems
Author : Anonim
Publisher : Unknown
Release Date : 2000
Category : Photovoltaic power systems
Total pages :13
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Proceedings of the ... Annual Conference of the IEEE Industrial Electronics Society

Proceedings of the ... Annual Conference of the IEEE Industrial Electronics Society
Author : IEEE Industrial Electronics Society. Conference
Publisher : Unknown
Release Date : 2003
Category : Computer vision
Total pages :129
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Intelligent Automation in Renewable Energy

Intelligent Automation in Renewable Energy
Author : Tetyana Baydyk,Ernst Kussul,Donald C. Wunsch II
Publisher : Springer
Release Date : 2019-02-05
Category : Computers
Total pages :285
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After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.

Solar Energy

Solar Energy
Author : Ibrahim Moukhtar
Publisher : Springer Nature
Release Date : 2021
Category :
Total pages :129
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Manufacturing Science and Technology III

Manufacturing Science and Technology III
Author : Rajagopal Sivakumar
Publisher : Trans Tech Publications Ltd
Release Date : 2012-12-27
Category : Technology & Engineering
Total pages :2010
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The collection includes selected, peer-reviewed papers from the 2012 3rd International Conference on Manufacturing Science and Technology (ICMST 2012) held August 18-19, 2012 in New Delhi, India. The 377 peer reviewed papers are grouped into the following chapters: Chapter 1: Optimization and ?omputational Techniques in Materials and Manufacturing, Chapter 2: Development of Novel Materials and their Characterization, Chapter 3: Advances in Welding Technology, Chapter 4: Advances in Tool-Chip Technology, Machining and Surface Roughness, Chapter 5: Advances in Various Manufacturing Processes and Technology, Chapter 6: Product and Material Development, Design and Processing, Chapter 7: Analysis, Modelling and Simulation Techniques in Manufacturing Processes, Chapter 8: Materials Science and Technology, Chapter 9: Nanotechnology and Nanocomposites in Manufacturing, Chapter 10: Energy, Green Materials and Technologies, Engines, Wind and Hybrid Power Systems, Chapter 11: Manufacturing and Processing of Reinforced and Metal Matrix Composites, Chapter 12: Inspection and Control Systems, Testing, Instrumentation and Measurement, Chapter 13: Materials Thermal Effects and Thermal Systems in Manufacturing, Chapter 14: Researches in Environmental, Geology Science and Sustainable Systems, Chapter 15: Advances in Research of Biotechnology, Chapter 16: Miscellaneous Topics.

Energy Research Abstracts

Energy Research Abstracts
Author : Anonim
Publisher : Unknown
Release Date : 1995
Category : Power resources
Total pages :129
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