Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
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Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
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Author : Manoj Sahni
language : en
Publisher: Springer Nature
Release Date : 2021-02-28

Mathematical Modeling Computational Intelligence Techniques And Renewable Energy written by Manoj Sahni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-28 with Technology & Engineering categories.


This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy,” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics, Institution of Engineers (IEI) – Gujarat and Computer Society of India (CSI) – Ahmedabad. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.



Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
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Author : Manoj Sahni
language : en
Publisher: Springer Nature
Release Date : 2021-12-11

Mathematical Modeling Computational Intelligence Techniques And Renewable Energy written by Manoj Sahni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-11 with Technology & Engineering categories.


This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.



Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
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Author : Manoj Sahni
language : en
Publisher: Springer Nature
Release Date : 2023-05-08

Mathematical Modeling Computational Intelligence Techniques And Renewable Energy written by Manoj Sahni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with Technology & Engineering categories.


The book is a collection of best selected research papers presented at the Third International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2022),” organized by the University of Technology Sydney, Australia, in association with the Department of Mathematics, Pandit Deendayal Energy University, India, and Forum for Interdisciplinary Mathematics. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.



Advances Of Artificial Intelligence In A Green Energy Environment


Advances Of Artificial Intelligence In A Green Energy Environment
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Author : Pandian Vasant
language : en
Publisher: Academic Press
Release Date : 2022-05-20

Advances Of Artificial Intelligence In A Green Energy Environment written by Pandian Vasant and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-20 with Science categories.


Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry. Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms Includes flowchart diagrams for exampling optimizing techniques



Applied Mathematical Modeling And Analysis In Renewable Energy


Applied Mathematical Modeling And Analysis In Renewable Energy
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Author : Manoj Sahni
language : en
Publisher: CRC Press
Release Date : 2021-10-04

Applied Mathematical Modeling And Analysis In Renewable Energy written by Manoj Sahni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-04 with Technology & Engineering categories.


This reference text introduces latest mathematical modeling techniques and analysis for renewable energy systems. It comprehensively covers important topics including study of combustion characteristics of laser ignited gasoline-air mixture, hierarchical demand response controller, mathematical modeling of an EOQ for a multi-item inventory system, and integration and modeling of small-scale pumped storage with micro optimization model (HOMER). Aimed at graduate students and academic researchers in the fields of electrical engineering, environmental engineering, mechanical engineering, and civil engineering, this text: Discusses applied mathematical modeling techniques in renewable energy. Covers effective storage and generation of power through renewable energy generation sources. Provides real life applications and problems based on renewable energy. Covers new ways of applying mathematical techniques for applications in diverse areas of science and engineering.



Knowledge Is Power In Four Dimensions Models To Forecast Future Paradigm


Knowledge Is Power In Four Dimensions Models To Forecast Future Paradigm
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Author : Bahman Zohuri
language : en
Publisher: Academic Press
Release Date : 2022-07-14

Knowledge Is Power In Four Dimensions Models To Forecast Future Paradigm written by Bahman Zohuri and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-14 with Science categories.


Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow’s World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in both AI technology and energy. Sections lay the groundwork for tomorrow’s computing functionality, starting with how to build a Business Resilience System (BRS), data warehousing, data management, and fuzzy logic. Subsequent chapters dive into the impact of energy on economic development and the environment and mathematical modeling, including energy forecasting and engineering statistics. Energy examples are included for application and learning opportunities. A final section deliver the most advanced content on artificial intelligence with the integration of machine learning and deep learning as a tool to forecast and make energy predictions. The reference covers many introductory programming tools, such as Python, Scikit, TensorFlow and Kera. Helps users gain fundamental knowledge in technology infrastructure, including AI, machine learning and fuzzy logic Compartmentalizes data knowledge into near-term and long-term forecasting models, with examples involving both renewable and non-renewable energy outcomes Advances climate resiliency and helps readers build a business resiliency system for assets



Mathematical Modeling Simulation And Optimization For Power Engineering And Management


Mathematical Modeling Simulation And Optimization For Power Engineering And Management
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Author : Simone Göttlich
language : en
Publisher: Springer Nature
Release Date : 2021-02-02

Mathematical Modeling Simulation And Optimization For Power Engineering And Management written by Simone Göttlich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-02 with Technology & Engineering categories.


This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.



Recent Advances In Sustainable Energy And Intelligent Systems


Recent Advances In Sustainable Energy And Intelligent Systems
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Author : Kang Li
language : en
Publisher: Springer Nature
Release Date : 2021-10-21

Recent Advances In Sustainable Energy And Intelligent Systems written by Kang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-21 with Computers categories.


The three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions. The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications.



Renewable Energy Systems


Renewable Energy Systems
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Author : Ahmad Taher Azar
language : en
Publisher: Academic Press
Release Date : 2021-09-09

Renewable Energy Systems written by Ahmad Taher Azar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with Computers categories.


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



Mathematical Modeling For Intelligent Systems


Mathematical Modeling For Intelligent Systems
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Author : Mukesh Kumar Awasthi
language : en
Publisher: CRC Press
Release Date : 2022-07-29

Mathematical Modeling For Intelligent Systems written by Mukesh Kumar Awasthi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Computers categories.


Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: • Offers a well-balanced mathematical analysis of modeling physical systems • Summarizes basic principles in differential geometry and convex analysis as needed • Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling • Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.