Advanced Control and Optimization Paradigms for Wind Energy Systems Book

Advanced Control and Optimization Paradigms for Wind Energy Systems


  • Author : Radu-Emil Precup
  • Publisher : Springer
  • Release Date : 2019-02-07
  • Genre: Technology & Engineering
  • Pages : 257
  • ISBN 10 : 9789811359958

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Advanced Control and Optimization Paradigms for Wind Energy Systems Excerpt :

This book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles.

INTER ENG 2020 Book

INTER ENG 2020


  • Author : Liviu Moldovan
  • Publisher : MDPI
  • Release Date : 2021-05-31
  • Genre: Technology & Engineering
  • Pages : 688
  • ISBN 10 : 9783036507163

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INTER ENG 2020 Excerpt :

These proceedings contain research papers that were accepted for presentation at the 14th International Conference Inter-Eng 2020 ,Interdisciplinarity in Engineering, which was held on 8–9 October 2020, in Târgu Mureș, Romania. It is a leading international professional and scientific forum for engineers and scientists to present research works, contributions, and recent developments, as well as current practices in engineering, which is falling into a tradition of important scientific events occurring at Faculty of Engineering and Information Technology in the George Emil Palade University of Medicine, Pharmacy Science, and Technology of Târgu Mures, Romania. The Inter-Eng conference started from the observation that in the 21st century, the era of high technology, without new approaches in research, we cannot speak of a harmonious society. The theme of the conference, proposing a new approach related to Industry 4.0, was the development of a new generation of smart factories based on the manufacturing and assembly process digitalization, related to advanced manufacturing technology, lean manufacturing, sustainable manufacturing, additive manufacturing, and manufacturing tools and equipment. The conference slogan was “Europe’s future is digital: a broad vision of the Industry 4.0 concept beyond direct manufacturing in the company”.

Control of Multiphase Machines and Drives Book

Control of Multiphase Machines and Drives


  • Author : Federico Barrero
  • Publisher : MDPI
  • Release Date : 2020-01-24
  • Genre: Technology & Engineering
  • Pages : 146
  • ISBN 10 : 9783039281367

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Control of Multiphase Machines and Drives Excerpt :

With the growing interest in electrical machines in recent times, the multiphase machine field has developed into a fascinating research area. Their intrinsic features (power splitting, better fault tolerance, or lower torque ripple) make them an appealing competitor to conventional three-phase machines. Multiphase electric drives have been recently used in applications where fault tolerance and continuous operation of the drive are required. However, the difficulties in extending the three-phase conventional current regulation and control structure to multiphase systems still limit their broad applicability in industry solutions. The main objective of this book is to illustrate new advances, developments, and applications in the field of multiphase machines and drives, while exposing these advances, developments, and applications to the scientific community and industry.

Artificial Intelligence for COVID 19 Book

Artificial Intelligence for COVID 19


  • Author : Diego Oliva
  • Publisher : Springer Nature
  • Release Date : 2021-07-19
  • Genre: Technology & Engineering
  • Pages : 594
  • ISBN 10 : 9783030697440

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Artificial Intelligence for COVID 19 Excerpt :

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB   SIMULINK   Book

Computational Intelligence Paradigms for Optimization Problems Using MATLAB SIMULINK


  • Author : S. Sumathi
  • Publisher : CRC Press
  • Release Date : 2018-09-03
  • Genre: Technology & Engineering
  • Pages : 601
  • ISBN 10 : 9781498743716

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB SIMULINK Excerpt :

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB® m-files and Simulink® models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

Renewable Energy Systems Book

Renewable Energy Systems


  • Author : Ahmad Taher Azar
  • Publisher : Academic Press
  • Release Date : 2021-09-09
  • Genre: Computers
  • Pages : 732
  • ISBN 10 : 9780128203989

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Renewable Energy Systems Excerpt :

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems

Applications of Nature Inspired Computing in Renewable Energy Systems Book

Applications of Nature Inspired Computing in Renewable Energy Systems


  • Author : Mellal, Mohamed Arezki
  • Publisher : IGI Global
  • Release Date : 2021-12-17
  • Genre: Technology & Engineering
  • Pages : 326
  • ISBN 10 : 9781799885634

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Applications of Nature Inspired Computing in Renewable Energy Systems Excerpt :

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.

Electric Power Systems Book

Electric Power Systems


  • Author : João P. S. Catalão
  • Publisher : CRC Press
  • Release Date : 2017-12-19
  • Genre: Technology & Engineering
  • Pages : 462
  • ISBN 10 : 9781351832571

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Electric Power Systems Excerpt :

Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling helps readers develop their skills in modeling, simulating, and optimizing electric power systems. Carefully balancing theory and practice, it presents novel, cutting-edge developments in forecasting and scheduling. The focus is on understanding and solving pivotal problems in the management of electric power generation systems. Methods for Coping with Uncertainty and Risk in Electric Power Generation Outlining real-world problems, the book begins with an overview of electric power generation systems. Since the ability to cope with uncertainty and risk is crucial for power generating companies, the second part of the book examines the latest methods and models for self-scheduling, load forecasting, short-term electricity price forecasting, and wind power forecasting. Toward Optimal Coordination between Hydro, Thermal, and Wind Power Using case studies, the third part of the book investigates how to achieve the most favorable use of available energy sources. Chapters in this section discuss price-based scheduling for generating companies, optimal scheduling of a hydro producer, hydro-thermal coordination, unit commitment with wind generators, and optimal optimization of multigeneration systems. Written in a pedagogical style that will appeal to graduate students, the book also expands on research results that are useful for engineers and researchers. It presents the latest techniques in increasingly important areas of power system operations and planning.

Modeling and Control of Static Converters for Hybrid Storage Systems Book

Modeling and Control of Static Converters for Hybrid Storage Systems


  • Author : Fekik, Arezki
  • Publisher : IGI Global
  • Release Date : 2021-09-17
  • Genre: Technology & Engineering
  • Pages : 355
  • ISBN 10 : 9781799874492

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Modeling and Control of Static Converters for Hybrid Storage Systems Excerpt :

The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.

AI and Machine Learning Paradigms for Health Monitoring System Book
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AI and Machine Learning Paradigms for Health Monitoring System


  • Author : Hasmat Malik
  • Publisher : Springer Nature
  • Release Date : 2021-02-14
  • Genre: Technology & Engineering
  • Pages : 513
  • ISBN 10 : 9789813344129

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AI and Machine Learning Paradigms for Health Monitoring System Excerpt :

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Predictive Modelling for Energy Management and Power Systems Engineering Book

Predictive Modelling for Energy Management and Power Systems Engineering


  • Author : Ravinesh Deo
  • Publisher : Elsevier
  • Release Date : 2020-09-30
  • Genre: Science
  • Pages : 552
  • ISBN 10 : 9780128177730

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Predictive Modelling for Energy Management and Power Systems Engineering Excerpt :

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format

AI and IOT in Renewable Energy Book

AI and IOT in Renewable Energy


  • Author : Rabindra Nath Shaw
  • Publisher : Springer Nature
  • Release Date : 2021-05-12
  • Genre: Technology & Engineering
  • Pages : 109
  • ISBN 10 : 9789811610110

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AI and IOT in Renewable Energy Excerpt :

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.

Renewable Energy for Sustainable Growth Assessment Book

Renewable Energy for Sustainable Growth Assessment


  • Author : Nayan Kumar
  • Publisher : John Wiley & Sons
  • Release Date : 2022-02-24
  • Genre: Science
  • Pages : 656
  • ISBN 10 : 9781119785446

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Renewable Energy for Sustainable Growth Assessment Excerpt :

RENEWABLE ENERGY FOR SUSTAINABLE GROWTH ASSESSMENT Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of renewable energy for sustainable growth assessment and provides practical solutions for engineers and scientists. Renewable energy resources (RERs) are gaining more attention in academia and industry as one of the preferred choices of sustainable energy conversion. Due to global energy demand, environmental impacts, economic needs and social issues, RERs are encouraged and even funded by many governments around the world. Today, researchers are facing numerous challenges as this field emerges and develops, but, at the same time, new opportunities are waiting for RERs utilization in sustainable development all over the globe. Efficient energy conversion of solar, wind, biomass, fuel cells, and other techniques are gaining more popularity and are the future of energy. The present book cross-pollinates recent advances in the study of renewable energy for sustainable growth. Various applications of RERs, modeling and performance analysis, grid integration, soft computing, optimization, artificial intelligence (AI) as well as machine and deep learning aspects of RERs are extensively covered. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library. This outstanding new volume Assesses the current and future need for energy on a global scale and reviews the role of renewable energy Includes multiple chapters on biomass and bioenergy Also includes multiple chapters on solar energy and PVs Also includes chapters on fuel cells, wind power, and many other topics Covers the design and implementation of power electronics for energy systems Outlines best practices and the state of the art for renewable energy with regard to sustainability Audience: Engineers, scientists, technicians, mana