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Book Soft Computing Applications in Modern Power and Energy Systems

Download or read book Soft Computing Applications in Modern Power and Energy Systems written by Krishna Murari and published by Springer Nature. This book was released on 2023-02-18 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Soft Computing Applications in Modern Power and Energy Systems

Download or read book Soft Computing Applications in Modern Power and Energy Systems written by Om Hari Gupta and published by Springer. This book was released on 2024-02-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Soft Computing in Green and Renewable Energy Systems

Download or read book Soft Computing in Green and Renewable Energy Systems written by Kasthurirangan Gopalakrishnan and published by Springer Science & Business Media. This book was released on 2011-08-20 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Soft Computing Applications for Renewable Energy and Energy Efficiency

Download or read book Soft Computing Applications for Renewable Energy and Energy Efficiency written by Cascales, Maria del Socorro García and published by IGI Global. This book was released on 2014-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. 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.

Book Soft Computing in Renewable Energy Technologies

Download or read book Soft Computing in Renewable Energy Technologies written by Najib El Ouanjli and published by CRC Press. This book was released on 2024-10-10 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Energy Efficiency of Modern Power and Energy Systems

Download or read book Energy Efficiency of Modern Power and Energy Systems written by Shady H E Abdel Aleem and published by Elsevier. This book was released on 2024-08-23 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Efficiency and Management of Power and Energy Systems introduces students and researchers to a broad range of power system management challenges, technologies, and solutions. This book begins with an analysis of system technology’s current state, the most pressing problems, and the background to challenges in integrating renewable energy sources. Technologies including smart grids, green building, and worker requirements are covered. Subsequent chapters break down potential management solutions, including specific problem-solving for solar, wind, and hybrid systems. Finally, specific case studies from a global geographical range zero in on critical questions facing the present industry. Providing meticulously researched literature reviews for guiding deeper reading, Energy Efficiency and Management of Power and Energy Systems leads readers from contextual understanding to specific case studies and solutions for sustainable power systems. Provides a comprehensive reference with extensive guidance on deeper reading Develops understanding and solution design using case studies from a global range of geographies with differing power needs and resources Guides readers through the evaluation and analysis of the capabilities and limitations of a range of transmission and distribution technologies

Book High Performance Computing in Power and Energy Systems

Download or read book High Performance Computing in Power and Energy Systems written by Siddhartha Kumar Khaitan and published by Springer Science & Business Media. This book was released on 2012-09-13 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Soft Computing

    Book Details:
  • Author : Devendra K. Chaturvedi
  • Publisher : Springer Science & Business Media
  • Release : 2008-08-20
  • ISBN : 3540774807
  • Pages : 620 pages

Download or read book Soft Computing written by Devendra K. Chaturvedi and published by Springer Science & Business Media. This book was released on 2008-08-20 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Applied Soft Computing and Embedded System Applications in Solar Energy

Download or read book Applied Soft Computing and Embedded System Applications in Solar Energy written by Rupendra Kumar Pachauri and published by CRC Press. This book was released on 2021-05-27 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects. Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India. Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Book Soft Computing Applications

Download or read book Soft Computing Applications written by Valentina Emilia Balas and published by Springer. This book was released on 2015-11-02 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: These volumes constitute the Proceedings of the 6th International Workshop on Soft Computing Applications, or SOFA 2014, held on 24-26 July 2014 in Timisoara, Romania. This edition was organized by the University of Belgrade, Serbia in conjunction with Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, The General Association of Engineers in Romania - Arad Section, Institute of Computer Science, Iasi Branch of the Romanian Academy and IEEE Romanian Section. The Soft Computing concept was introduced by Lotfi Zadeh in 1991 and serves to highlight the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solution cost. Soft computing facilitates the use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing in combination, leading to the concept of hybrid intelligent systems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains. The conference papers included in these proceedings, published post conference, were grouped into the following area of research: · Image, Text and Signal Processing Intelligent Transportation Modeling and Applications Biomedical Applications Neural Network and Applications Knowledge-Based Technologies for Web Applications, Cloud Computing, Security, Algorithms and Computer Networks Knowledge-Based Technologies Soft Computing Techniques for Time Series Analysis Soft Computing and Fuzzy Logic in Biometrics Fuzzy Applications Theory and Fuzzy Control Business Process Management Methods and Applications in Electrical Engineering The volumes provide useful information to professors, researchers and graduated students in area of soft computing techniques and applications, as they report new research work on challenging issues.

Book Decision Making Applications in Modern Power Systems

Download or read book Decision Making Applications in Modern Power Systems written by Shady H.E. Abdel Aleem and published by Academic Press. This book was released on 2019-09-21 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids. As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors. Provides panoramic coverage of state-of-the-art energy systems, strategies and priorities in support of electrical power decision-making Introduces innovative research outcomes, programs, algorithms and approaches to address challenges in understanding, creating and managing complex techno-socio-economic engineering systems Includes practical training on theoretical developments and the application of advanced methods for realistic electrical energy engineering problems

Book Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Download or read book Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications written by Saxena, Pratiksha and published by IGI Global. This book was released on 2016-03-01 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques have developed into a modern-day solution for real-world problems in various industries. As a way to improve performance and handle issues of uncertainty, optimization research becomes a topic of special interest across disciplines. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.

Book Control Applications in Modern Power Systems

Download or read book Control Applications in Modern Power Systems written by Jitendra Kumar and published by Springer Nature. This book was released on 2022-05-27 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume contains peer-reviewed proceedings of EPREC 2021 with a focus on control applications in the modern power system. The book includes original research and case studies that present recent developments in the control system, especially load frequency control, wide-area monitoring, control & instrumentation, optimization, intelligent control, energy management system, SCADA systems, etc. The book will be a valuable reference guide for beginners, researchers, and professionals interested in advancements in the control system.

Book Computational Intelligence in Machine Learning

Download or read book Computational Intelligence in Machine Learning written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Soft Computing Applications for Renewable Energy and Energy Efficiency

Download or read book Soft Computing Applications for Renewable Energy and Energy Efficiency written by Maria del Socorro Garcia Cascales and published by . This book was released on 2014-10-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment, highlighting current advances and future trends in environmental sustainability using the principles of soft computing"--

Book Energy Storage for Modern Power System Operations

Download or read book Energy Storage for Modern Power System Operations written by Sandeep Dhundhara and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENERGY STORAGE for MODERN POWER SYSTEM OPERATIONS Written and edited by a team of well-known and respected experts in the field, this new volume on energy storage presents the state-of-the-art developments and challenges for modern power systems for engineers, researchers, academicians, industry professionals, consultants, and designers. Energy storage systems have been recognized as the key elements in modern power systems, where they are able to provide primary and secondary frequency controls, voltage regulation, power quality improvement, stability enhancement, reserve service, peak shaving, and so on. Particularly, deployment of energy storage systems in a distributed manner will contribute greatly in the development of smart grids and providing promising solutions for the above issues. The main challenges will be the adoption of new techniques and strategies for the optimal planning, control, monitoring and management of modern power systems with the wide installation of distributed energy storage systems. Thus, the aim of this book is to illustrate the potential of energy storage systems in different applications of modern power systems, with a view toward illuminating recent advances and research trends in storage technologies. This exciting new volume covers the recent advancements and applications of different energy storage technologies that are useful to engineers, scientists, and students in the discipline of electrical engineering. Suitable for the engineers at power companies and energy storage consultants working in the energy storage field, this book offers a cross-disciplinary look across electrical, mechanical, chemical and renewable engineering aspects of energy storage. Whether for the veteran engineer or the student, this is a must-have for any library. AUDIENCE Electrical engineers and other designers, engineers, and scientists working in energy storage

Book Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems

Download or read book Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems written by Hasmat Malik and published by Springer Nature. This book was released on 2020-01-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book’s goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.