Artificial Neural Networks For Renewable Energy Systems And Real World Applications
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Artificial Neural Networks For Renewable Energy Systems And Real World Applications
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Author : Ammar Hamed Elsheikh
language : en
Publisher: Academic Press
Release Date : 2022-09-08
Artificial Neural Networks For Renewable Energy Systems And Real World Applications written by Ammar Hamed Elsheikh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-08 with Technology & Engineering categories.
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
Applications Of Ai And Iot In Renewable Energy
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Author : Rabindra Nath Shaw
language : en
Publisher: Academic Press
Release Date : 2022-02-09
Applications Of Ai And Iot In Renewable Energy written by Rabindra Nath Shaw and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Technology & Engineering categories.
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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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
Applications Of Nature Inspired Computing In Renewable Energy Systems
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Author : Mellal, Mohamed Arezki
language : en
Publisher: IGI Global
Release Date : 2021-12-17
Applications Of Nature Inspired Computing In Renewable Energy Systems written by Mellal, Mohamed Arezki and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-17 with Technology & Engineering categories.
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.
Computer Vision And Machine Intelligence For Renewable Energy Systems
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Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-09-20
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Technology & Engineering categories.
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
Towards Future Smart Power Systems With High Penetration Of Renewables
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Author : Marcos Tostado-Véliz
language : en
Publisher: Elsevier
Release Date : 2025-02-03
Towards Future Smart Power Systems With High Penetration Of Renewables written by Marcos Tostado-Véliz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Technology & Engineering categories.
Towards Future Smart Power Systems with High Penetration of Renewables: Emerging Technologies, New Tools, and Case Studies explores the latest tools and approaches for smart power systems with high-scale integration of renewable energy, covering technology, optimization, control, forecasting, and market structures. The first section of the book on emerging technologies and energy vectors identifies some of the most prominent energy carriers in future power systems, and discusses the implications of different energy technologies as well as their advantages and disadvantages. This is followed by a section focusing on new markets, businesses and structures, discussing how such energy carriers should be managed within existing or future market structures, and discussing the different opportunities and challenges bought by renewable technologies. The third part of the book analyzes real projects and case studies, offering steps forward in the large-scale integration of renewable energy in existing power systems. Finally, the fourth section examines optimization and control for power systems with renewables. covering the needs of future power systems regarding their optimization and control and describing some of the new tools required, with an emphasis on planning, management and forecasting in future power systems. Drawing on real examples, case studies, computational tools, and analysis, this book is a valuable resource for all those with an interest in renewable energy integration and smart power systems, including students, researchers, faculty, engineers, R&D, industry personnel, and policy makers. - Identifies the most significant challenges and opportunities in future power systems with high renewable integration - Provides tools and techniques for optimization, control, management, and forecasting - Offers useful insights through the inclusion of case studies and real-world examples
Encyclopedia Of Renewable Energy Sustainability And The Environment
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-09
Encyclopedia Of Renewable Energy Sustainability And The Environment written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Science categories.
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy
Reshaping Criminology With Ai
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Author : Ortiz-Rodriguez, Fernando
language : en
Publisher: IGI Global
Release Date : 2025-06-24
Reshaping Criminology With Ai written by Ortiz-Rodriguez, Fernando and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Social Science categories.
As societies deal with complex criminal behaviors, AI offers powerful tools to enhance predictive policing, forensic analysis, and criminal behavior profiling. By automating pattern recognition, improving crime forecasting, and aiding in real-time decision-making, AI reshapes how crime is understood and how justice is administered. However, this technological evolution also raises critical ethical and legal questions about privacy, bias, and accountability. Further exploration is essential to reshape criminology using intelligent technology. Reshaping Criminology with AI explores new insights into digital criminology and the use of AI in cybersecurity. It examines cybersecurity as a synergistic partnership between AI and human expertise for more effective defense against evolving cyber threats. This book covers topics such as ethics and law, mental health, and sentiment analysis, and is a useful resource for computer engineers, security professionals, criminologists, academicians, researchers, and scientists.
Handbook Of Ai Based Metaheuristics
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Author : Anand J. Kulkarni
language : en
Publisher: CRC Press
Release Date : 2021-09-01
Handbook Of Ai Based Metaheuristics written by Anand J. Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
Advances Of Artificial Intelligence In A Green Energy Environment
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Author : Pandian Vasant
language : en
Publisher: Academic Press
Release Date : 2022-05-20
Advances Of Artificial Intelligence In A Green Energy Environment written by Pandian Vasant and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-20 with Science categories.
Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry. - Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide - Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms - Includes flowchart diagrams for exampling optimizing techniques
Soft Computing In Green And Renewable Energy Systems
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Author : Kasthurirangan Gopalakrishnan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-20
Soft Computing In Green And Renewable Energy Systems written by Kasthurirangan Gopalakrishnan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-20 with Computers categories.
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.