Soft Computing Applications For Renewable Energy And Energy Efficiency

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Soft Computing Applications for Renewable Energy and Energy Efficiency

Cascales, Maria del Socorro García
Soft Computing Applications for Renewable Energy and Energy Efficiency Book PDF

Author : Cascales, Maria del Socorro García
Publisher : IGI Global
Page : 408 pages
File Size : 43,7 Mb
Release : 2014-10-31
Category : Technology & Engineering
ISBN : 9781466666320

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Soft Computing Applications for Renewable Energy and Energy Efficiency by Cascales, Maria del Socorro García Pdf

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 Applications for Renewable Energy and Energy Efficiency

Maria del Socorro Garcia Cascales,Juan Miguel Sanchez Lozano,Antonio David Masegosa Arredondo,Carlos Cruz Corona
Soft Computing Applications for Renewable Energy and Energy Efficiency Book PDF

Author : Maria del Socorro Garcia Cascales,Juan Miguel Sanchez Lozano,Antonio David Masegosa Arredondo,Carlos Cruz Corona
Publisher : Unknown
Page : 0 pages
File Size : 47,6 Mb
Release : 2014-10-31
Category : Energy consumption
ISBN : 1466666331

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Soft Computing Applications for Renewable Energy and Energy Efficiency by Maria del Socorro Garcia Cascales,Juan Miguel Sanchez Lozano,Antonio David Masegosa Arredondo,Carlos Cruz Corona Pdf

"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"--

Applied Soft Computing and Embedded System Applications in Solar Energy

Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram
Applied Soft Computing and Embedded System Applications in Solar Energy Book PDF

Author : Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram
Publisher : CRC Press
Page : 258 pages
File Size : 53,6 Mb
Release : 2021-05-27
Category : Technology & Engineering
ISBN : 9781000391732

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Applied Soft Computing and Embedded System Applications in Solar Energy by Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram Pdf

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.

Soft Computing in Green and Renewable Energy Systems

Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Soft Computing in Green and Renewable Energy Systems Book PDF

Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer
Page : 306 pages
File Size : 52,5 Mb
Release : 2012-02-29
Category : Computers
ISBN : 3642221777

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Soft Computing in Green and Renewable Energy Systems by Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou Pdf

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.

Artificial Intelligence for Renewable Energy Systems

Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Artificial Intelligence for Renewable Energy Systems Book PDF

Author : Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 54,5 Mb
Release : 2022-03-02
Category : Computers
ISBN : 9781119761693

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Artificial Intelligence for Renewable Energy Systems by Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman Pdf

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Soft Computing Applications in Modern Power and Energy Systems

Krishna Murari,Narayana Prasad Padhy,Sukumar Kamalasadan
Soft Computing Applications in Modern Power and Energy Systems Book PDF

Author : Krishna Murari,Narayana Prasad Padhy,Sukumar Kamalasadan
Publisher : Springer Nature
Page : 282 pages
File Size : 43,9 Mb
Release : 2023-02-18
Category : Technology & Engineering
ISBN : 9789811983535

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Soft Computing Applications in Modern Power and Energy Systems by Krishna Murari,Narayana Prasad Padhy,Sukumar Kamalasadan Pdf

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.

Applications of AI and IOT in Renewable Energy

Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
Applications of AI and IOT in Renewable Energy Book PDF

Author : Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
Publisher : Academic Press
Page : 248 pages
File Size : 45,8 Mb
Release : 2022-02-09
Category : Science
ISBN : 9780323984010

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Applications of AI and IOT in Renewable Energy by Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas Pdf

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 40,8 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

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.

Advances in Smart Energy Systems

Biplab Das,Ripon Patgiri,Valentina Emilia Balas
Advances in Smart Energy Systems Book PDF

Author : Biplab Das,Ripon Patgiri,Valentina Emilia Balas
Publisher : Springer Nature
Page : 300 pages
File Size : 42,5 Mb
Release : 2022-08-31
Category : Technology & Engineering
ISBN : 9789811924125

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Advances in Smart Energy Systems by Biplab Das,Ripon Patgiri,Valentina Emilia Balas Pdf

This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.

Design and Development of Efficient Energy Systems

Suman Lata Tripathi,Dushyant Kumar Singh,Sanjeevikumar Padmanaban,P. Raja
Design and Development of Efficient Energy Systems Book PDF

Author : Suman Lata Tripathi,Dushyant Kumar Singh,Sanjeevikumar Padmanaban,P. Raja
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 50,5 Mb
Release : 2021-03-26
Category : Computers
ISBN : 9781119761792

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Design and Development of Efficient Energy Systems by Suman Lata Tripathi,Dushyant Kumar Singh,Sanjeevikumar Padmanaban,P. Raja Pdf

There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society. This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.

Soft Computing in Green and Renewable Energy Systems

Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Soft Computing in Green and Renewable Energy Systems Book PDF

Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer
Page : 305 pages
File Size : 53,7 Mb
Release : 2011-08-20
Category : Technology & Engineering
ISBN : 9783642221767

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Soft Computing in Green and Renewable Energy Systems by Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou Pdf

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 Applications

Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Dumitru Baleanu
Soft Computing Applications Book PDF

Author : Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Dumitru Baleanu
Publisher : Springer Nature
Page : 750 pages
File Size : 51,8 Mb
Release : 2023-10-26
Category : Technology & Engineering
ISBN : 9783031236365

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Soft Computing Applications by Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Dumitru Baleanu Pdf

Soft computing techniques open significant opportunities in several areas, such as industry, medicine, energy, security, transportation, and education. This book provides theory and applications development using soft computing techniques by organizing intelligent systems for many applications to the benefit of humanity. The book comes from a multidisciplinary subject whose audience can come from different academic departments, e.g., department of computer science and engineering, department of medical imaging, department of biomedical informatics, department of education sciences, and so on where artificial intelligence and soft computing are of routine courses. The book covers a range of audience from academicians, practitioners, researchers, and students to stakeholders. It can support graduate students and interns to develop a deep understanding of the latest paradigms in the soft computing techniques.

Intelligent Paradigms for Smart Grid and Renewable Energy Systems

B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar
Intelligent Paradigms for Smart Grid and Renewable Energy Systems Book PDF

Author : B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar
Publisher : Springer Nature
Page : 397 pages
File Size : 51,9 Mb
Release : 2020-12-15
Category : Technology & Engineering
ISBN : 9789811599682

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Intelligent Paradigms for Smart Grid and Renewable Energy Systems by B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar Pdf

This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.

Soft Computing in Renewable Energy Technologies

Najib El Ouanjli,Mahmoud A Mossa,Mariya Ouaissa,Sanjeevikumar Padmanaban,Said Mahfoud
Soft Computing in Renewable Energy Technologies Book PDF

Author : Najib El Ouanjli,Mahmoud A Mossa,Mariya Ouaissa,Sanjeevikumar Padmanaban,Said Mahfoud
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2024-10-10
Category : Computers
ISBN : 103261191X

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Soft Computing in Renewable Energy Technologies by Najib El Ouanjli,Mahmoud A Mossa,Mariya Ouaissa,Sanjeevikumar Padmanaban,Said Mahfoud Pdf

This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. 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.

Assessment and Simulation Tools for Sustainable Energy Systems

Fausto Cavallaro
Assessment and Simulation Tools for Sustainable Energy Systems Book PDF

Author : Fausto Cavallaro
Publisher : Springer Science & Business Media
Page : 427 pages
File Size : 46,9 Mb
Release : 2013-08-13
Category : Technology & Engineering
ISBN : 9781447151432

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Assessment and Simulation Tools for Sustainable Energy Systems by Fausto Cavallaro Pdf

In recent years, the concept of energy has been revised and a new model based on the principle of sustainability has become more and more pervasive. The appraisal of energy technologies and projects is complex and uncertain as the related decision making has to encompass environmental, technical, economic and social factors and information sources. The scientific procedure of assessment has a vital role as it can supply the right tools to evaluate the actual situation and make realistic forecasts of the effects and outcomes of any actions undertaken. Assessment and Simulation Tools for Sustainable Energy Systems offers reviews of the main assessment and simulation methods used for effective energy assessment. Divided across three sections, Assessment and Simulation Tools for Sustainable Energy Systems develops the reader’s ability to select suitable tools to support decision making and implementation of sustainable energy projects. The first is dedicated to the analysis of theoretical foundations and applications of multi-criteria decision making. This is followed by chapters concentrating on the theory and practice of fuzzy inference, neural nets and algorithms genetics. Finally, simulation methods such as Monte Carlo analysis, mathematical programming and others are detailed. This comprehensive illustration of these tools and their application makes Assessment and Simulation Tools for Sustainable Energy Systems a key guide for researchers, scientists, managers, politicians and industry professionals developing the field of sustainable energy systems. It may also prompt further advancements in soft computing and simulation issues for students and researchers.