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
Publsiher: Academic Press
Total Pages: 500
Release: 2021-06-15
ISBN 10: 9780128207932
ISBN 13: 0128207930
Language: EN, FR, DE, ES & NL

Artificial Neural Networks for Renewable Energy Systems and Real World Applications Book Review:

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

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
Author: Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publsiher: Springer Nature
Total Pages: 109
Release: 2021
ISBN 10: 9811610118
ISBN 13: 9789811610110
Language: EN, FR, DE, ES & NL

AI and IOT in Renewable Energy Book Review:

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 Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
Author: Soteris Kalogirou
Publsiher: Nova Publishers
Total Pages: 471
Release: 2007
ISBN 10: 9781600212611
ISBN 13: 1600212611
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Energy and Renewable Energy Systems Book Review:

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
Publsiher: Springer
Total Pages: 305
Release: 2011-08-20
ISBN 10: 3642221769
ISBN 13: 9783642221767
Language: EN, FR, DE, ES & NL

Soft Computing in Green and Renewable Energy Systems Book Review:

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
Publsiher: Springer Science & Business Media
Total Pages: 427
Release: 2013-08-13
ISBN 10: 1447151437
ISBN 13: 9781447151432
Language: EN, FR, DE, ES & NL

Assessment and Simulation Tools for Sustainable Energy Systems Book Review:

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.

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System
Author: Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publsiher: CRC Press
Total Pages: 432
Release: 2021-11-24
ISBN 10: 1000392457
ISBN 13: 9781000392456
Language: EN, FR, DE, ES & NL

Introduction to AI Techniques for Renewable Energy System Book Review:

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.

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies
Author: Anwar, Sohail
Publsiher: IGI Global
Total Pages: 614
Release: 2012-08-31
ISBN 10: 146661997X
ISBN 13: 9781466619975
Language: EN, FR, DE, ES & NL

Handbook of Research on Solar Energy Systems and Technologies Book Review:

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
Author: Mrinmoy Majumder
Publsiher: Springer
Total Pages: 191
Release: 2017-09-18
ISBN 10: 9811062056
ISBN 13: 9789811062056
Language: EN, FR, DE, ES & NL

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

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.

Artificial Neural Networks

Artificial Neural Networks
Author: Kenji Suzuki
Publsiher: BoD – Books on Demand
Total Pages: 492
Release: 2011-04-04
ISBN 10: 9533072202
ISBN 13: 9789533072203
Language: EN, FR, DE, ES & NL

Artificial Neural Networks Book Review:

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries.

Electronic Instrumentation for Distributed Generation and Power Processes

Electronic Instrumentation for Distributed Generation and Power Processes
Author: Felix Alberto Farret,Marcelo Godoy Simões,Danilo Iglesias Brandão
Publsiher: CRC Press
Total Pages: 283
Release: 2017-08-16
ISBN 10: 1498782426
ISBN 13: 9781498782425
Language: EN, FR, DE, ES & NL

Electronic Instrumentation for Distributed Generation and Power Processes Book Review:

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.

Value Based and Intelligent Asset Management

Value Based and Intelligent Asset Management
Author: Adolfo Crespo Márquez,Marco Macchi,Ajith Kumar Parlikad
Publsiher: Springer
Total Pages: 403
Release: 2019-06-29
ISBN 10: 3030207048
ISBN 13: 9783030207045
Language: EN, FR, DE, ES & NL

Value Based and Intelligent Asset Management Book Review:

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.

Mathematical and Statistical Applications in Food Engineering

Mathematical and Statistical Applications in Food Engineering
Author: Surajbhan Sevda,Anoop Singh
Publsiher: CRC Press
Total Pages: 442
Release: 2020-01-30
ISBN 10: 0429792522
ISBN 13: 9780429792526
Language: EN, FR, DE, ES & NL

Mathematical and Statistical Applications in Food Engineering Book Review:

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.

Energy Systems

Energy Systems
Author: T. Ohta
Publsiher: Elsevier
Total Pages: 244
Release: 2013-05-31
ISBN 10: 0080984584
ISBN 13: 9780080984582
Language: EN, FR, DE, ES & NL

Energy Systems Book Review:

This book consists mainly of revised versions of the papers presented at the "Energy Systems and Technologies: as Approached from Adaptive Complexity" symposium sessions during the 4th International Conference on "New Energy Systems and Conversions" (20-30 June 1999; Osaka University, Japan), as well as some pertinent additional research reports. In order to realise the adaptive complexity of a system, it is necessary to know the energy conversion mechanisms of the media. This book details a wide range of situations in which adaptive complexity can be applied and found, from predicting air-flow in a room to describing turbulence as a complex system. The idea of approaching both the study of energy systems and energy technologies from the adaptive complexity aspect is new, and still a very much developing field. These pioneering articles discuss not only previous, but also pending problems.

Design Analysis and Applications of Renewable Energy Systems

Design  Analysis and Applications of Renewable Energy Systems
Author: Ahmad Taher Azar,Nashwa Ahmad Kamal
Publsiher: Academic Press
Total Pages: 760
Release: 2021-09-09
ISBN 10: 0323859917
ISBN 13: 9780323859912
Language: EN, FR, DE, ES & NL

Design Analysis and Applications of Renewable Energy Systems Book Review:

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

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

Selected paper from 6th International Conference on Renewable Energy Sources  ICoRES 2019
Author: Marcin Jewiarz
Publsiher: MDPI
Total Pages: 238
Release: 2020-11-23
ISBN 10: 3039434225
ISBN 13: 9783039434220
Language: EN, FR, DE, ES & NL

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

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.

31st European Symposium on Computer Aided Process Engineering

31st European Symposium on Computer Aided Process Engineering
Author: Metin Türkay,Rafiqul Gani
Publsiher: Elsevier
Total Pages: 2140
Release: 2021-07-22
ISBN 10: 0323885136
ISBN 13: 9780323885133
Language: EN, FR, DE, ES & NL

31st European Symposium on Computer Aided Process Engineering Book Review:

The 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31, Volume 50 contains the papers presented at the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Istanbul, Turkey. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants in the chemical industries. Presents findings and discussions from the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event

Afro European Conference for Industrial Advancement

Afro European Conference for Industrial Advancement
Author: Ajith Abraham,Pavel Krömer,Vaclav Snasel
Publsiher: Springer
Total Pages: 384
Release: 2014-11-18
ISBN 10: 3319135724
ISBN 13: 9783319135724
Language: EN, FR, DE, ES & NL

Afro European Conference for Industrial Advancement Book Review:

This volume contains accepted papers presented at AECIA2014, the First International Afro-European Conference for Industrial Advancement. The aim of AECIA was to bring together the foremost experts as well as excellent young researchers from Africa, Europe, and the rest of the world to disseminate latest results from various fields of engineering, information, and communication technologies. The first edition of AECIA was organized jointly by Addis Ababa Institute of Technology, Addis Ababa University, and VSB - Technical University of Ostrava, Czech Republic and took place in Ethiopia's capital, Addis Ababa.

Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1575
Release: 2021-07-16
ISBN 10: 1668424096
ISBN 13: 9781668424094
Language: EN, FR, DE, ES & NL

Research Anthology on Artificial Neural Network Applications Book Review:

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.

Solar Energy Engineering

Solar Energy Engineering
Author: Soteris A. Kalogirou
Publsiher: Academic Press
Total Pages: 840
Release: 2013-10-25
ISBN 10: 0123972566
ISBN 13: 9780123972569
Language: EN, FR, DE, ES & NL

Solar Energy Engineering Book Review:

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

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
Publsiher: Academic Press
Total Pages: 528
Release: 2008-12-29
ISBN 10: 9780123747068
ISBN 13: 0123747066
Language: EN, FR, DE, ES & NL

Renewable Energy Focus e Mega Handbook Book Review:

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