Advanced Computational Techniques For Renewable Energy Systems

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Advanced Computational Techniques for Renewable Energy Systems

Author : Mustapha Hatti
Publisher : Springer Nature
Page : 844 pages
File Size : 53,5 Mb
Release : 2023-02-13
Category : Technology & Engineering
ISBN : 9783031212161

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Advanced Computational Techniques for Renewable Energy Systems by Mustapha Hatti Pdf

In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

Advanced Computational Techniques for Sustainable Computing

Author : Megha Rathi,Adwitiya Sinha
Publisher : CRC Press
Page : 336 pages
File Size : 40,9 Mb
Release : 2022-06-08
Category : Computers
ISBN : 9781000454314

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Advanced Computational Techniques for Sustainable Computing by Megha Rathi,Adwitiya Sinha Pdf

Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. The book offers comprehensive coverage of the most essential topics, and: Provides insight on building smart sustainable solutions Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains Encompasses comparison and analysis of recent technologies and trends Includes development of smart models for information gain and effective decision making with visualization The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.

Intelligent Renewable Energy Systems

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 47,6 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.

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Author : Kang Li,Yusheng Xue,Shumei Cui,Qun Niu,Zhile Yang,Patrick Luk
Publisher : Springer
Page : 824 pages
File Size : 50,6 Mb
Release : 2017-09-01
Category : Computers
ISBN : 9789811063640

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration by Kang Li,Yusheng Xue,Shumei Cui,Qun Niu,Zhile Yang,Patrick Luk Pdf

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant
Publisher : Springer Nature
Page : 302 pages
File Size : 49,7 Mb
Release : 2023-06-14
Category : Technology & Engineering
ISBN : 9783031264962

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Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy by Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant Pdf

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering

Author : Samui, Pijush
Publisher : IGI Global
Page : 617 pages
File Size : 49,7 Mb
Release : 2015-11-30
Category : Technology & Engineering
ISBN : 9781466694804

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Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering by Samui, Pijush Pdf

Recent developments in information processing systems have driven the advancement of computational methods in the engineering realm. New models and simulations enable better solutions for problem-solving and overall process improvement. The Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering is an authoritative reference work representing the latest scholarly research on the application of computational models to improve the quality of engineering design. Featuring extensive coverage on a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches, this book is a comprehensive reference source for students, professional engineers, and researchers interested in the application of computational methods for engineering design.

Advanced Computational Methods in Life System Modeling and Simulation

Author : Minrui Fei,Shiwei Ma,Xin Li,Xin Sun,Li Jia,Zhou Su
Publisher : Springer
Page : 615 pages
File Size : 45,9 Mb
Release : 2017-09-01
Category : Computers
ISBN : 9789811063701

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Advanced Computational Methods in Life System Modeling and Simulation by Minrui Fei,Shiwei Ma,Xin Li,Xin Sun,Li Jia,Zhou Su Pdf

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Machine Learning for Energy Systems

Author : Denis Sidorov
Publisher : MDPI
Page : 272 pages
File Size : 45,7 Mb
Release : 2020-12-08
Category : Technology & Engineering
ISBN : 9783039433827

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Machine Learning for Energy Systems by Denis Sidorov Pdf

This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.

Fostering Cross-Industry Sustainability With Intelligent Technologies

Author : Mishra, Brojo Kishore
Publisher : IGI Global
Page : 633 pages
File Size : 49,8 Mb
Release : 2024-01-22
Category : Business & Economics
ISBN : 9798369316399

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Fostering Cross-Industry Sustainability With Intelligent Technologies by Mishra, Brojo Kishore Pdf

In today's context of intricate global challenges, encompassing climate crises, resource scarcity, and social disparities, the imperative for sustainable development has never been more pressing. While academic scholars and researchers are instrumental in crafting solutions, they often grapple with the intricate balance between theoretical concepts and practical implementation. This gap impedes the transformation of innovative ideas into tangible societal progress, leaving a void where effective real-world strategies for cross-industry sustainability should flourish. "Fostering Cross-Industry Sustainability With Intelligent Technologies" seeks to bridge this divide. This book is more than just a collection of pages; it serves as a roadmap for those determined to make a tangible impact. It brings together a diverse group of esteemed experts from various disciplines, offering a comprehensive spectrum of actionable insights, all grounded in the ethical imperatives of inclusivity and environmental responsibility. Anchored in the United Nations Sustainable Development Goals (SDGs), this volume serves as a guiding star, channeling theoretical expertise into practical solutions. For academic scholars, scientists, innovators, and students alike, Fostering Cross-Industry Sustainability With Intelligent Technologies is the definitive guidepost. It fosters a profound understanding of the real-world implications of research, promoting interdisciplinary collaborations that transcend conventional boundaries. This comprehensive book presents a wealth of sustainable science and intelligent technology applications, all while emphasizing the importance of ethics and societal impact. With visionary insights woven throughout its pages, it calls upon humanity to envision a future where challenges transform into opportunities, and sustainable development becomes an attainable reality.

Design and Performance Optimization of Renewable Energy Systems

Author : Mamdouh Assad,Marc A Rosen
Publisher : Academic Press
Page : 319 pages
File Size : 50,6 Mb
Release : 2021-01-12
Category : Science
ISBN : 9780128232323

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Design and Performance Optimization of Renewable Energy Systems by Mamdouh Assad,Marc A Rosen Pdf

Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency

Modern Computational Techniques for Engineering Applications

Author : Krishan Arora,Vikram Kumar,Deepak Prashar,Suman Lata Tripathi
Publisher : CRC Press
Page : 228 pages
File Size : 54,8 Mb
Release : 2023-07-21
Category : Computers
ISBN : 9781000904871

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Modern Computational Techniques for Engineering Applications by Krishan Arora,Vikram Kumar,Deepak Prashar,Suman Lata Tripathi Pdf

Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Author : Kang Li,Yusheng Xue,Shumei Cui,Qun Niu,Zhile Yang,Patrick Luk
Publisher : Springer
Page : 0 pages
File Size : 42,8 Mb
Release : 2017-08-25
Category : Computers
ISBN : 981106363X

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration by Kang Li,Yusheng Xue,Shumei Cui,Qun Niu,Zhile Yang,Patrick Luk Pdf

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Renewable Energy Systems

Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
Publisher : Academic Press
Page : 734 pages
File Size : 40,5 Mb
Release : 2021-09-09
Category : Computers
ISBN : 9780128203989

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Renewable Energy Systems by Ahmad Taher Azar,Nashwa Ahmad Kamal Pdf

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems

Intelligent Computing Techniques for Smart Energy Systems

Author : Anshuman Tripathi,Amit Soni,Ashish Shrivastava,Anil Swarnkar,Jagrati Sahariya
Publisher : Springer Nature
Page : 775 pages
File Size : 49,9 Mb
Release : 2022-06-13
Category : Technology & Engineering
ISBN : 9789811902529

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Intelligent Computing Techniques for Smart Energy Systems by Anshuman Tripathi,Amit Soni,Ashish Shrivastava,Anil Swarnkar,Jagrati Sahariya Pdf

This book compiles the best selected research papers presented during the 2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES 2021), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics and communication engineering- to computer-related fields. The theoretical research concepts are supported with extensive reviews highlighting the trends in the possible and real-life applications of computational intelligence. The high-quality content with broad range of the topics is thoroughly peer-reviewed and published on suitable recommendations.

Advanced Computational Methods and Experiments in Heat Transfer XII

Author : B. Sundén,C.A. Brebbia,D. Poljak
Publisher : WIT Press
Page : 377 pages
File Size : 46,5 Mb
Release : 2012-06-27
Category : Technology & Engineering
ISBN : 9781845646028

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Advanced Computational Methods and Experiments in Heat Transfer XII by B. Sundén,C.A. Brebbia,D. Poljak Pdf

Containing papers presented at the twelfth in a series of successful international conferences on Advanced Computational Methods and Experiments in Heat Transfer, this book covers the latest developments in this important field. Heat Transfer plays a major role in emerging application fields such as sustainable development and the reduction of greenhouse gases, as well as micro- and nano-scale structures and bio-engineering. Typical applications include heat exchangers, gas turbine cooling, turbulent combustion and fires, electronics cooling, melting and solidification. The nature of heat transfer problems is complex, involving many different simultaneously occurring mechanisms (e.g., heat conduction, convection, turbulence, thermal radiation. phase change). Their complexity makes it imperative that we develop reliable and accurate computational methods to replace or complement expensive and time-consuming experimental trial and error work. Tremendous advances have been achieved during recent years due to improved numerical solutions of non-linear partial differential equations and more powerful computers capable of performing efficient and rapid calculations. Nevertheless, to further progress, it will also be necessary to develop theoretical and predictive computational procedures--both basic and innovative--and in applied research. Accurate experimental investigations are needed to validate the numerical calculations. The book includes such topics as: Heat Transfer in Energy Producing Devices; Heat Transfer Enhancement; Heat Transfer Problems; Natural and Forced Convection and Radiation; Multiphase Flow Heat Transfer; Modelling and Experiments.