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Artificial Neural Networks For Renewable Energy Systems And Manufacturing Applications

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Artificial Neural Networks for Renewable Energy Systems and Real World Applications

Artificial Neural Networks for Renewable Energy Systems and Real World Applications Book
Author : Ammar Hamed Elsheikh,Mohamed Elasyed Abd Elaziz
Publisher : Academic Press
Release : 2022-09-08
ISBN : 0128231866
Language : En, Es, Fr & De

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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

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems Book
Author : Soteris Kalogirou
Publisher : Nova Publishers
Release : 2007
ISBN : 9781600212611
Language : En, Es, Fr & De

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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.

Applications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy Book
Author : Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
Publisher : Academic Press
Release : 2022-02-15
ISBN : 0323984010
Language : En, Es, Fr & De

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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

Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems Book
Author : S. Balamurugan,Ajay Kumar Vyas,Kamal Kant Hiran,Harsh S. Dhiman
Publisher : John Wiley & Sons
Release : 2022-01-28
ISBN : 1119761719
Language : En, Es, Fr & De

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Book Description :

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Applications of Nature Inspired Computing in Renewable Energy Systems

Applications of Nature Inspired Computing in Renewable Energy Systems Book
Author : Mellal, Mohamed Arezki
Publisher : IGI Global
Release : 2021-12-17
ISBN : 1799885631
Language : En, Es, Fr & De

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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.

Soft Computing in Green and Renewable Energy Systems

Soft Computing in Green and Renewable Energy Systems Book
Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer
Release : 2011-08-20
ISBN : 3642221769
Language : En, Es, Fr & De

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Book Description :

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.

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy Book
Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publisher : Springer Nature
Release : 2021-05-12
ISBN : 9811610118
Language : En, Es, Fr & De

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Book Description :

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.

Artificial Intelligence in Renewable Energetic Systems

Artificial Intelligence in Renewable Energetic Systems Book
Author : Mustapha Hatti
Publisher : Springer
Release : 2018-03-12
ISBN : 3319731920
Language : En, Es, Fr & De

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Book Description :

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.

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System Book
Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publisher : CRC Press
Release : 2021-11-24
ISBN : 1000392457
Language : En, Es, Fr & De

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Book Description :

Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Design Analysis and Applications of Renewable Energy Systems

Design  Analysis and Applications of Renewable Energy Systems Book
Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
Publisher : Academic Press
Release : 2021-09-09
ISBN : 0323859917
Language : En, Es, Fr & De

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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

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies Book
Author : Anwar, Sohail
Publisher : IGI Global
Release : 2012-08-31
ISBN : 146661997X
Language : En, Es, Fr & De

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Book Description :

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.

Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems

Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems Book
Author : Mrinmoy Majumder
Publisher : Springer
Release : 2017-09-18
ISBN : 9811062056
Language : En, Es, Fr & De

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Book Description :

This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources. The irregularity in availability of resources and inefficiency in utilization of the available resources has reduced the potentiality of water and water based renewable energy resources. In recent years various soft computation methods (SCM) along with GIS were adopted to solve critical problems. The book collects various studies where many SCMs were used along with GIS to provide a solution for optimal utilization of natural resources for satisfying the basic needs of the population as well as fulfilling their burgeoning energy demands. The articles depict innovative application of soft computation techniques to identify the root cause and to mitigate the uncertainty for optimal utilization of the available water resources. The advantage of SCM and GIS were used to maximize the utilization of water resources under cost and time constraints in face of climatic abnormalities and effect of rapid urbanization.

Value Based and Intelligent Asset Management

Value Based and Intelligent Asset Management Book
Author : Adolfo Crespo Márquez,Marco Macchi,Ajith Kumar Parlikad
Publisher : Springer
Release : 2019-06-29
ISBN : 3030207048
Language : En, Es, Fr & De

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Book Description :

The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: • The strategic understanding of value-based asset management in a company; • An operational definition of value, as a concept on the background of value-based asset management; • The identification of intelligent asset management, with the aim to frame a set of “tools” recommended to support the asset-related decision-making process over the asset lifecycle; • The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.

Selected paper from 6th International Conference on Renewable Energy Sources ICoRES 2019

Selected paper from 6th International Conference on Renewable Energy Sources  ICoRES 2019  Book
Author : Marcin Jewiarz
Publisher : MDPI
Release : 2020-11-23
ISBN : 3039434225
Language : En, Es, Fr & De

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Book Description :

Thank you for reaching for this book. It is a summary of the research presented at the 6th International Conference on Renewable Energy Sources (ICORES19), which took place in Krynica, Poland, in June 2019. This event is the most recognizable scientific meeting connected to RES in Poland. From the very beginning, this conference has been a unique occasion for gathering Polish and international researchers’ perspectives on renewable energy sources and balancing them against governmental policy considerations. Accordingly, the conference has also offered panels to discuss best practices and solutions with local entrepreneurs and federal government bodies. The meeting attracts not only scientists but also industry representatives, as well as local and federal government personnel. We are open to new and fresh ideas concerning renewable energy, which is why so many scientists from Central and Eastern Europe visit Krynica to discuss the “Green Future” of this region. In 2019, the conference was organized by the University of Agriculture in Krakow, in cooperation with the AGH University of Science and Technology (Krakow), the State Agrarian and Engineering University in Podilya, the University of Žilina, the International Commission of Agricultural and Biosystems Engineering (CIGR) and the Polish Society of Agricultural Engineering. Honorary auspices were made by the Ministry of Science and Higher Education of the Republic of Poland, the rector of the University of Agriculture in Krakow, the rector of the AGH University of Science and Technology and the rector of the State Agrarian and Engineering University in Podilya.

Electronic Instrumentation for Distributed Generation and Power Processes

Electronic Instrumentation for Distributed Generation and Power Processes Book
Author : Felix Alberto Farret,Marcelo Godoy Simões,Danilo Iglesias Brandão
Publisher : CRC Press
Release : 2017-08-16
ISBN : 1351651471
Language : En, Es, Fr & De

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Book Description :

The goal of the book is to provide basic and advanced knowledge of design, analysis, and circuit implementation for electronic instrumentation and clarify how to get the best out of the analog, digital, and computer circuitry design steps. The reader will learn the physical fundamentals guiding the electrical and mechanical devices that allow for a modern automation and control system, which are widely comprised of computers, electronic instrumentation, communication loops, smart grids, and digital circuitry. It includes practical and technical data on electronic instrumentation with respect to efficiency, maximum power, and applications. Additionally, the text discusses fuzzy logic and neural networks and how they can be used in practice for electronic instrumentation of distributed generation, smart grids, and power systems.

Power Electronics for Renewable Energy Systems Transportation and Industrial Applications

Power Electronics for Renewable Energy Systems  Transportation and Industrial Applications Book
Author : Haitham Abu-Rub,Mariusz Malinowski,Kamal Al-Haddad
Publisher : John Wiley & Sons
Release : 2014-06-02
ISBN : 1118755502
Language : En, Es, Fr & De

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Book Description :

Compiles current research into the analysis and design ofpower electronic converters for industrial applications andrenewable energy systems, presenting modern and future applicationsof power electronics systems in the field of electricalvehicles With emphasis on the importance and long-term viability of PowerElectronics for Renewable Energy this book brings together thestate of the art knowledge and cutting-edge techniques in variousstages of research. The topics included are not currentlyavailable for practicing professionals and aim to enable the readerto directly apply the knowledge gained to their designs. The bookaddresses the practical issues of current and future electric andplug-in hybrid electric vehicles (PHEVs), and focuses primarily onpower electronics and motor drives based solutions for electricvehicle (EV) technologies. Propulsion system requirements and motorsizing for EVs is discussed, along with practical system sizingexamples. Key EV battery technologies are explained as well ascorresponding battery management issues. PHEV power systemarchitectures and advanced power electronics intensive charginginfrastructures for EVs and PHEVs are detailed. EV/PHEV interfacewith renewable energy is described, with practical examples. Thisbook explores new topics for further research needed world-wide,and defines existing challenges, concerns, and selected problemsthat comply with international trends, standards, and programs forelectric power conversion, distribution, and sustainable energydevelopment. It will lead to the advancement of the currentstate-of-the art applications of power electronics for renewableenergy, transportation, and industrial applications and will helpadd experience in the various industries and academia about theenergy conversion technology and distributed energysources. Combines state of the art global expertise to present thelatest research on power electronics and its application intransportation, renewable energy and different industrialapplications Offers an overview of existing technology and future trends,with discussion and analysis of different types of converters andcontrol techniques (power converters, high performance powerdevices, power system, high performance control system and novelapplications) Systematic explanation to provide researchers with enoughbackground and understanding to go deeper in the topics covered inthe book

Mathematical and Statistical Applications in Food Engineering

Mathematical and Statistical Applications in Food Engineering Book
Author : Surajbhan Sevda,Anoop Singh
Publisher : CRC Press
Release : 2020-01-30
ISBN : 0429792522
Language : En, Es, Fr & De

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Book Description :

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.

Solar Energy Engineering

Solar Energy Engineering Book
Author : Soteris A. Kalogirou
Publisher : Academic Press
Release : 2013-10-25
ISBN : 0123972566
Language : En, Es, Fr & De

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Book Description :

Energy policy promoting sustainable development is transforming global energy markets. Solar power, the most abundant of all renewable resources, is crucial to greater achieving energy security and sustainability. This new edition of Solar Energy Engineering: Processes and Systems from Prof. Soteris Kalogirou, a renowned expert with over thirty years of experience in renewable energy systems and applications, includes revised and updated chapters on all areas of solar energy engineering from the fundamentals to the highest level of current research. The book includes high interest topics such as solar collectors, solar water heating, solar space heating and cooling, industrial process heat, solar desalination, photovoltaic technology, solar thermal power systems, modeling of solar energy systems and includes a new chapter on wind energy systems. As solar energy’s vast potential environmental and socioeconomic benefits are broadly recognized, the second edition of Solar Energy Engineering: Processes and Systems will provide professionals and students with a resource on the basic principles and applications of solar energy systems and processes and can be used as a reference guide to practicing engineers who want to understand how solar systems operate and how to design the systems. Written by one of the world’s most renowned experts in solar energy with over thirty years of experience in renewable and particularly solar energy applications Provides updated chapters including new sections detailing solar collectors, uncertainties in solar collector performance testing, building-integrated photovoltaics (BIPV), thermosiphonic systems performance prediction and solar updraft tower systems Includes a new chapter on wind energy systems Packed with reference tables and schematic diagrams for the most commonly used systems

Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2021-07-16
ISBN : 1668424096
Language : En, Es, Fr & De

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Book Description :

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Renewable Energy Focus e Mega Handbook

Renewable Energy Focus e Mega Handbook Book
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 : 2008-12-29
ISBN : 9780123747068
Language : En, Es, Fr & De

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Book Description :

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