Soft Computing Applications in Modern Power and Energy Systems

Soft Computing Applications in Modern Power and Energy Systems PDF

Author: Krishna Murari

Publisher: Springer Nature

Published: 2023-02-18

Total Pages: 282

ISBN-13: 9811983534

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This book provides rigorous discussions, case studies, and recent developments in soft computing and its application in power systems enabled with power electronics-based equipment, biomedical engineering, and image processing. The readers would be benefitted from enhancing their knowledge and skills in the domain areas. This book also helps the readers in developing new and innovative ideas.

Soft Computing Applications in Modern Power and Energy Systems

Soft Computing Applications in Modern Power and Energy Systems PDF

Author: Om Hari Gupta

Publisher: Springer

Published: 2024-02-14

Total Pages: 0

ISBN-13: 9789819980062

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This book includes select proceedings of EPREC 2023. It provides rigorous discussions, case studies, and recent developments in the areas of soft computing and its applications in power systems enabled with power electronics-based equipment, energy systems, and the energy community. The other topics to be covered are optimal planning, analysis, operation, and control related to modern power and energy systems, and applications of various soft computing methodologies. The readers find this book useful for enhancing their knowledge and skills in the domain areas.

Soft Computing Applications for Renewable Energy and Energy Efficiency

Soft Computing Applications for Renewable Energy and Energy Efficiency PDF

Author: Cascales, Maria del Socorro García

Publisher: IGI Global

Published: 2014-10-31

Total Pages: 432

ISBN-13: 1466666323

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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.

Soft Computing in Green and Renewable Energy Systems

Soft Computing in Green and Renewable Energy Systems PDF

Author: Kasthurirangan Gopalakrishnan

Publisher: Springer Science & Business Media

Published: 2011-08-20

Total Pages: 315

ISBN-13: 3642221750

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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.

Soft Computing

Soft Computing PDF

Author: Devendra K. Chaturvedi

Publisher: Springer

Published: 2008-07-20

Total Pages: 620

ISBN-13: 3540774815

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This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

Soft Computing in Systems and Control Technology

Soft Computing in Systems and Control Technology PDF

Author: S. G. Tzafestas

Publisher: World Scientific

Published: 1999

Total Pages: 516

ISBN-13: 9789810233815

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Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion.This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control.The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature.

Advances in Soft Computing Applications

Advances in Soft Computing Applications PDF

Author: Shristi Kharola

Publisher: CRC Press

Published: 2023-07-27

Total Pages: 305

ISBN-13: 1000922065

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The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements, supply chain and logistics, system optimization, decision-making, artificial intelligence, smart systems, and other rapidly evolving technologies. In today’s competitive world, the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems.

High Performance Computing in Power and Energy Systems

High Performance Computing in Power and Energy Systems PDF

Author: Siddhartha Kumar Khaitan

Publisher: Springer Science & Business Media

Published: 2012-09-13

Total Pages: 387

ISBN-13: 3642326838

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The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.

Soft Computing in Renewable Energy Technologies

Soft Computing in Renewable Energy Technologies PDF

Author: Najib El Ouanjli

Publisher: CRC Press

Published: 2024-10-10

Total Pages: 228

ISBN-13: 1040121942

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This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. It covers topics such as solar energy, wind energy, and solar concentrator technologies, as well as building systems and power generation systems. In all these areas, applications of soft computing methods such as artificial neural networks, genetic algorithms, particle swarm optimization, cuckoo search, fuzzy logic, and a combination of these, called hybrid systems, are included. This book is a source for students interested in the fields of renewable energy and the application of the soft computing. In addition, our book can be considered as a reference for researchers and academics since it will include applications of soft computing in different renewable energy systems.

Soft Computing and Industry

Soft Computing and Industry PDF

Author: Rajkumar Roy

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 862

ISBN-13: 1447101235

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Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.