Applications Of Nature Inspired Computing In Renewable Energy Systems PDF Download
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| Author | : Mellal, Mohamed Arezki |
| Publisher | : IGI Global |
| Total Pages | : 326 |
| Release | : 2021-12-17 |
| Genre | : Technology & Engineering |
| ISBN | : 1799885631 |
Download Applications of Nature-Inspired Computing in Renewable Energy Systems Book in PDF, ePub and Kindle
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.
| Author | : Mahdi Khosravy |
| Publisher | : Springer Nature |
| Total Pages | : 389 |
| Release | : 2020-03-11 |
| Genre | : Technology & Engineering |
| ISBN | : 9811521336 |
Download Frontier Applications of Nature Inspired Computation Book in PDF, ePub and Kindle
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.
| Author | : Manjaree Pandit |
| Publisher | : Springer Nature |
| Total Pages | : 129 |
| Release | : 2020-04-07 |
| Genre | : Technology & Engineering |
| ISBN | : 9811540047 |
Download Nature Inspired Optimization for Electrical Power System Book in PDF, ePub and Kindle
This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model of nature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical science.
| Author | : Santosh Kumar Das |
| Publisher | : Springer Nature |
| Total Pages | : 287 |
| Release | : 2021-03-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9813361956 |
Download Nature-Inspired Computing for Smart Application Design Book in PDF, ePub and Kindle
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.
| Author | : Allam Hamdan |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 344 |
| Release | : 2024-04-23 |
| Genre | : Business & Economics |
| ISBN | : 1837531080 |
Download Technological Innovations for Business, Education and Sustainability Book in PDF, ePub and Kindle
Fulfilling a growing need for aligning business strategy and educational curriculums with the evolving skills required for business workplaces, this book presents a thorough understanding of how business, education and technology can enable current and future leaders to contribute positively to digital transformation across the globe.
| Author | : Balo, Figen |
| Publisher | : IGI Global |
| Total Pages | : 304 |
| Release | : 2022-03-11 |
| Genre | : Business & Economics |
| ISBN | : 1668424746 |
Download Optimization and Decision-Making in the Renewable Energy Industry Book in PDF, ePub and Kindle
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.
| Author | : Dash, Sujata |
| Publisher | : IGI Global |
| Total Pages | : 538 |
| Release | : 2017-08-10 |
| Genre | : Computers |
| ISBN | : 152252858X |
Download Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms Book in PDF, ePub and Kindle
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.
| Author | : Nazmul H. Siddique |
| Publisher | : CRC Press |
| Total Pages | : 596 |
| Release | : 2017-05-19 |
| Genre | : Computers |
| ISBN | : 1482244837 |
Download Nature-Inspired Computing Book in PDF, ePub and Kindle
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.
| Author | : Seyedali Mirjalili |
| Publisher | : Springer |
| Total Pages | : 245 |
| Release | : 2019-02-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3030121275 |
Download Nature-Inspired Optimizers Book in PDF, ePub and Kindle
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.
| Author | : Sengar, R.S. |
| Publisher | : IGI Global |
| Total Pages | : 666 |
| Release | : 2022-04-30 |
| Genre | : Technology & Engineering |
| ISBN | : 179988435X |
Download Handbook of Research on Green Technologies for Sustainable Management of Agricultural Resources Book in PDF, ePub and Kindle
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.
