Applications of Nature Inspired Computing in Renewable Energy Systems

Applications of Nature Inspired Computing in Renewable Energy Systems
Author: Mellal, Mohamed Arezki
Publsiher: IGI Global
Total Pages: 326
Release: 2021-12-17
ISBN: 1799885631
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Applications of Nature Inspired Computing in Renewable Energy Systems Book 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.

Frontier Applications of Nature Inspired Computation

Frontier Applications of Nature Inspired Computation
Author: Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Publsiher: Springer Nature
Total Pages: 389
Release: 2020-03-11
ISBN: 9811521336
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Frontier Applications of Nature Inspired Computation Book Excerpt:

This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.

Nature Inspired Computing for Smart Application Design

Nature Inspired Computing for Smart Application Design
Author: Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
Publsiher: Springer Nature
Total Pages: 287
Release: 2021-03-17
ISBN: 9813361956
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Nature Inspired Computing for Smart Application Design Book Excerpt:

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Optimization and Decision Making in the Renewable Energy Industry

Optimization and Decision Making in the Renewable Energy Industry
Author: Balo, Figen,Topal, Ay?e,Demir, Ezgi,Uluta?, Alptekin
Publsiher: IGI Global
Total Pages: 304
Release: 2022-03-11
ISBN: 1668424746
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Optimization and Decision Making in the Renewable Energy Industry Book Excerpt:

With immense consumption of resources, increased global warming, and environmental pollution, the energy sector has inevitably embraced sustainability. Countries are releasing plans and programs to shift their fossil fuel-dependent energy sectors into clean energy sectors, and projections show that renewable energy will be a significant part of nations’ energy mixes in the near future. Optimization and decision-making techniques have been commonly used in the energy sector as problems encountered in this sector are complex and therefore need comprehensive techniques to solve them. With the uncertainty and high-cost issues of renewable resources, the complexity increases in the sector and requires optimization and decision-making techniques. Optimization and Decision-Making in the Renewable Energy Industry analyzes renewable energy sources using current mathematical methods and techniques and provides advanced knowledge on key opportunities and challenges. The book discusses current and trending mathematical methods, tests their validity and verification, and considers their practical application in the field. Covering topics such as urban sustainability and renewable energy systems, this reference work is ideal for practitioners, academicians, industry professionals, researchers, scholars, instructors, and students.

Nature Inspired Computing

Nature Inspired Computing
Author: Nazmul H. Siddique,Hojjat Adeli
Publsiher: CRC Press
Total Pages: 596
Release: 2017-05-19
ISBN: 1351644912
Category: Computers
Language: EN, FR, DE, ES & NL

Nature Inspired Computing Book Excerpt:

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.

Handbook of Research on Green Technologies for Sustainable Management of Agricultural Resources

Handbook of Research on Green Technologies for Sustainable Management of Agricultural Resources
Author: Sengar, R.S.,Chaudhary, Reshu,Bhadauriya, H.S.
Publsiher: IGI Global
Total Pages: 637
Release: 2022-04-30
ISBN: 179988435X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Handbook of Research on Green Technologies for Sustainable Management of Agricultural Resources Book Excerpt:

Green technology is focused on devising environmentally-friendly (eco-friendly) agricultural practices. It plays a crucial role in dealing with food security issues and reducing the carbon footprint. Green technologies and environmental sustainability are focused on the goals of green technologies, which are becoming increasingly important for ensuring sustainability. The Handbook of Research on Green Technologies for Sustainable Management of Agricultural Resources covers the applications of green technology as well as different eco-friendly technologies for the sustainable management of natural resources. It also explores the timely topic of enhancing crop productivity. It is ideal for agriculturists, farmers, botanists, technologists, policymakers, scientists, academicians, researchers, and students as it covers a variety of concepts such as organic farming and the role of green technologies.

Nature Inspired Optimizers

Nature Inspired Optimizers
Author: Seyedali Mirjalili,Jin Song Dong,Andrew Lewis
Publsiher: Springer
Total Pages: 238
Release: 2019-02-01
ISBN: 3030121275
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Nature Inspired Optimizers Book Excerpt:

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Urban Sustainability and Energy Management of Cities for Improved Health and Well Being

Urban Sustainability and Energy Management of Cities for Improved Health and Well Being
Author: González-Lezcano, Roberto Alonso
Publsiher: IGI Global
Total Pages: 281
Release: 2022-04-29
ISBN: 1668440326
Category: Architecture
Language: EN, FR, DE, ES & NL

Urban Sustainability and Energy Management of Cities for Improved Health and Well Being Book Excerpt:

Global environmental challenges such as climate change, rapid urbanization, and human influence on the environment continue to grow. Many of these resulting risks lead to diseases and negative impacts on health and quality of life. It is now essential to develop more sustainable and healthy environments with greater focus on prevention by targeting the root causes of disease. Urban communities comprise a high concentration of services, consumption, and waste and represent an unsustainable pattern of urbanization that accelerates the decline of global ecosystems services rather than supporting them through the compensatory contributions of peri-urban and rural areas. By focusing on reducing environmental and social risk factors, almost a quarter of the global burden of disease can be avoided through better health promotion strategies and improved prevention and hygiene measures. Urban Sustainability and Energy Management of Cities for Improved Health and Well-Being highlights the interdisciplinary connections between the environment and human health, focusing on new ideas and suggestions for promoting both sustainable development and human health and well-being. It creates a new approach to the analysis of human impacts on the natural environment and, conversely, determines how the environment can modulate human lifestyles and health. Furthermore, this book explores opportunities and challenges urban communities face as they seek to become sustainable systems embedded in their diverse and complex social and environmental contexts. Covering topics such as affordable housing, ecological waste materials, and urban health, this premier reference source is an essential resource for environmentalists, civil engineers, government officials, architects, libraries, students and educators of higher education, urban planners, researchers, and academicians.

Handbook of Research on Water Sciences and Society

Handbook of Research on Water Sciences and Society
Author: Vaseashta, Ashok,Duca, Gheorghe,Travin, Sergey
Publsiher: IGI Global
Total Pages: 728
Release: 2022-03-11
ISBN: 1799873579
Category: Science
Language: EN, FR, DE, ES & NL

Handbook of Research on Water Sciences and Society Book Excerpt:

Water supports three basic pillars of our life and survival: safety, security, and sustainability. Hence, it is extremely important to revisit the fundamental characteristics of water in order to discover additional information and the characteristics water has that will help uncover pathways to support the United Nations Sustainable Development Goals (UN SDG) to reduce inequality and make cities and human settlements more inclusive, safe, resilient, and sustainable. Clean water is a critical component to meet such goals. While the fundamental physical and chemical properties of water continue to reveal new aspects, it is critical that we review these properties in the context of several recent applications and by case studies. The Handbook of Research on Water Sciences and Society provides the basics of water science, ways to sense/detect and mitigate contaminants, several regional case studies, and societal aspects of water, including the human right to access water. The book serves as a comprehensive knowledge base on the latest fundamental and applied research and scientific innovations regarding the relationships between society and water resources, safe and sustainable use of water, watershed stewardship, industrial application, and public health awareness. Covering a wide range of topics, it is an ideal resource for researchers, professionals, policymakers, scientists, practitioners, instructors, and students.

Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science
Author: Minakhi Rout,Jitendra Kumar Rout,Himansu Das
Publsiher: Springer Nature
Total Pages: 295
Release: 2019-11-26
ISBN: 3030338207
Category: Computers
Language: EN, FR, DE, ES & NL

Nature Inspired Computing for Data Science Book Excerpt:

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

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: 0323859917
Category: Science
Language: EN, FR, DE, ES & NL

Design Analysis and Applications of Renewable Energy Systems Book Excerpt:

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

Nature Inspired Computation and Machine Learning

Nature Inspired Computation and Machine Learning
Author: Alexander Gelbukh,Félix Castro Espinoza,Sofía N. Galicia-Haro
Publsiher: Springer
Total Pages: 522
Release: 2014-11-05
ISBN: 331913650X
Category: Computers
Language: EN, FR, DE, ES & NL

Nature Inspired Computation and Machine Learning Book Excerpt:

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

Handbook of Research on Soft Computing and Nature Inspired Algorithms

Handbook of Research on Soft Computing and Nature Inspired Algorithms
Author: Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
Publsiher: IGI Global
Total Pages: 627
Release: 2017-03-10
ISBN: 1522521291
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Soft Computing and Nature Inspired Algorithms Book Excerpt:

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Handbook of Research on Modeling Analysis and Application of Nature Inspired Metaheuristic Algorithms

Handbook of Research on Modeling  Analysis  and Application of Nature Inspired Metaheuristic Algorithms
Author: Dash, Sujata,Tripathy, B.K.,Rahman, Atta ur
Publsiher: IGI Global
Total Pages: 538
Release: 2017-08-10
ISBN: 152252858X
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Modeling Analysis and Application of Nature Inspired Metaheuristic Algorithms Book Excerpt:

The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Nature Inspired Computation and Swarm Intelligence

Nature Inspired Computation and Swarm Intelligence
Author: Xin-She Yang
Publsiher: Academic Press
Total Pages: 442
Release: 2020-04-09
ISBN: 0128226099
Category: Computers
Language: EN, FR, DE, ES & NL

Nature Inspired Computation and Swarm Intelligence Book Excerpt:

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Soft Computing Applications for Renewable Energy and Energy Efficiency

Soft Computing Applications for Renewable Energy and Energy Efficiency
Author: Cascales, Maria del Socorro García
Publsiher: IGI Global
Total Pages: 408
Release: 2014-10-31
ISBN: 1466666323
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Soft Computing Applications for Renewable Energy and Energy Efficiency Book Excerpt:

As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.

Proceedings of Seventh International Conference on Bio Inspired Computing Theories and Applications BIC TA 2012

Proceedings of Seventh International Conference on Bio Inspired Computing  Theories and Applications  BIC TA 2012
Author: Jagdish C. Bansal,Pramod Singh,Kusum Deep,Millie Pant,Atulya K. Nagar
Publsiher: Springer Science & Business Media
Total Pages: 556
Release: 2012-12-04
ISBN: 8132210387
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Proceedings of Seventh International Conference on Bio Inspired Computing Theories and Applications BIC TA 2012 Book Excerpt:

The book is a collection of high quality peer reviewed research papers presented in Seventh International Conference on Bio-Inspired Computing (BIC-TA 2012) held at ABV-IIITM Gwalior, India. These research papers provide the latest developments in the broad area of "Computational Intelligence". The book discusses wide variety of industrial, engineering and scientific applications of nature/bio-inspired computing and presents invited papers from the inventors/originators of novel computational techniques.

Frontiers in Nature Inspired Industrial Optimization

Frontiers in Nature Inspired Industrial Optimization
Author: Mahdi Khosravy,Neeraj Gupta,Nilesh Patel
Publsiher: Springer Nature
Total Pages: 235
Release: 2021-08-06
ISBN: 981163128X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Frontiers in Nature Inspired Industrial Optimization Book Excerpt:

The book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field.

Advances in Nature Inspired Computing and Applications

Advances in Nature Inspired Computing and Applications
Author: Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar
Publsiher: Springer
Total Pages: 349
Release: 2018-08-29
ISBN: 3319964518
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Nature Inspired Computing and Applications Book Excerpt:

This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.

Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
Author: Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publsiher: John Wiley & Sons
Total Pages: 480
Release: 2022-02-08
ISBN: 1119786274
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligent Renewable Energy Systems Book Excerpt:

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.