Modeling Optimization And Intelligent Control Techniques In Renewable Energy Systems

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Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Author : Moussa Labbadi
Publisher :
ISBN 13 : 9783030987381
Total Pages : 0 pages
Book Rating : 4.9/5 (873 download)

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Book Synopsis Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems by : Moussa Labbadi

Download or read book Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems written by Moussa Labbadi and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

Renewable Energy Systems

Author : Ahmad Taher Azar
Publisher : Academic Press
ISBN 13 : 0128203986
Total Pages : 734 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Renewable Energy Systems by : Ahmad Taher Azar

Download or read book Renewable Energy Systems written by Ahmad Taher Azar and published by Academic Press. This book was released on 2021-09-09 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : John Wiley & Sons
ISBN 13 : 1119786274
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Author : Moussa Labbadi
Publisher : Springer Nature
ISBN 13 : 303098737X
Total Pages : 244 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems by : Moussa Labbadi

Download or read book Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems written by Moussa Labbadi and published by Springer Nature. This book was released on 2022-04-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

Intelligent Renewable Energy Systems

Author : Gerasimos Rigatos
Publisher : Springer
ISBN 13 : 3319391569
Total Pages : 542 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Gerasimos Rigatos

Download or read book Intelligent Renewable Energy Systems written by Gerasimos Rigatos and published by Springer. This book was released on 2016-08-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained. The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed: • Modeling and control of power generators (PMSGs, DFIGs); • Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and • Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units). Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.

Introduction to AI Techniques for Renewable Energy System

Author : Suman Lata Tripathi
Publisher : CRC Press
ISBN 13 : 1000392457
Total Pages : 423 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Introduction to AI Techniques for Renewable Energy System by : Suman Lata Tripathi

Download or read book Introduction to AI Techniques for Renewable Energy System written by Suman Lata Tripathi and published by CRC Press. This book was released on 2021-11-25 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Artificial Intelligence for Renewable Energy Systems

Author : S. Balamurugan
Publisher : John Wiley & Sons
ISBN 13 : 1119761719
Total Pages : 272 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence for Renewable Energy Systems by : S. Balamurugan

Download or read book Artificial Intelligence for Renewable Energy Systems written by S. Balamurugan and published by John Wiley & Sons. This book was released on 2022-01-28 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Wind Power Electric Systems

Author : Djamila Rekioua
Publisher : Springer Science & Business
ISBN 13 : 1447164253
Total Pages : 202 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Wind Power Electric Systems by : Djamila Rekioua

Download or read book Wind Power Electric Systems written by Djamila Rekioua and published by Springer Science & Business. This book was released on 2014-04-16 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book helps readers understand key concepts in standalone and grid connected wind energy systems and features analysis into the modeling and optimization of commonly used configurations through the implementation of different control strategies. Utilizing several electrical machinery control approaches, such as vector control and direct torque control 'Wind Power Electric Systems' equips readers with the means to understand, assess and develop their own wind energy systems and to evaluate the performance of such systems. Mathematical models are provided for each system and a corresponding MATLAB/SIMULINK example is included at the end of each section in order to demonstrate key processes and methods.

Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources

Author : Ramesh C. Bansal
Publisher : Academic Press
ISBN 13 : 0323909906
Total Pages : 433 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources by : Ramesh C. Bansal

Download or read book Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources written by Ramesh C. Bansal and published by Academic Press. This book was released on 2023-11-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modelling and Control Dynamics in Microgrid Systems with Renewable Energy Resources looks at complete microgrid systems integrated with renewable energy resources (RERs) such as solar, wind, biomass or fuel cells that facilitate remote applications and allow access to pollution-free energy. Designed and dedicated to providing a complete package on microgrid systems modelling and control dynamics, this book elaborates several aspects of control systems from classical approach to advanced techniques based on artificial intelligence. It captures the typical modes of operation of microgrid systems with distributed energy storage applications like battery, flywheel, electrical vehicles infrastructures that are integrated within microgrids with desired targets. More importantly, the techno-economics of these microgrid systems are well addressed to accelerate the process of achieving the SDG7 i.e., affordable and clean energy for all (E4ALL). This reference presents the latest developments including step by step modelling processes, data security and standards protocol for commissioning of microgrid projects, making this a useful tool for researchers, engineers and industrialists wanting a comprehensive reference on energy systems models. Includes simulations with case studies and real-world applications of energy system models Detailed systematic modeling with mathematical analysis is covered Features possible operating scenarios with solutions to the encountered issues

Wind Power Electric Systems

Author : Djamila Rekioua
Publisher : Springer Nature
ISBN 13 : 3031528832
Total Pages : 331 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Wind Power Electric Systems by : Djamila Rekioua

Download or read book Wind Power Electric Systems written by Djamila Rekioua and published by Springer Nature. This book was released on with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Energy Systems

Author : Ashutosh K. Giri
Publisher : CRC Press
ISBN 13 : 1000823377
Total Pages : 308 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Distributed Energy Systems by : Ashutosh K. Giri

Download or read book Distributed Energy Systems written by Ashutosh K. Giri and published by CRC Press. This book was released on 2022-12-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the insight of various topology and control algorithms used for power control in distributed energy power conversion systems such as solar, wind, and other power sources. It covers traditional and advanced control algorithms of power filtering including modelling and simulations, and hybrid power generation systems. The adaptive control, model predictive control, fuzzy-based controllers, Artificial Intelligence-based control algorithm, and optimization techniques application for estimating the error regulator gains are discussed. Features of this book include the following: Covers the schemes for power quality enhancement, and voltage and frequency control. Provides complete mathematical modelling and simulation results of the various configurations of the renewable energy-based distribution systems. Includes design, control, and experimental results. Discusses mathematical modelling of classical and adaptive control techniques. Explores recent application of control algorithm and power conversion. This book is aimed at researchers, professionals, and graduate students in power electronics, distributed power generation systems, control engineering, Artificial Intelligent-based control algorithms, optimization techniques, and renewable energy systems.

Design, Analysis and Applications of Renewable Energy Systems

Author : Ahmad Taher Azar
Publisher : Academic Press
ISBN 13 : 0323859917
Total Pages : 762 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Design, Analysis and Applications of Renewable Energy Systems by : Ahmad Taher Azar

Download or read book Design, Analysis and Applications of Renewable Energy Systems written by Ahmad Taher Azar and published by Academic Press. This book was released on 2021-09-09 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods Includes new circuits and systems, helping researchers solve many nonlinear problems

Intelligent Learning Approaches for Renewable and Sustainable Energy

Author : Josep M. Guerrero
Publisher : Elsevier
ISBN 13 : 044315807X
Total Pages : 315 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Intelligent Learning Approaches for Renewable and Sustainable Energy by : Josep M. Guerrero

Download or read book Intelligent Learning Approaches for Renewable and Sustainable Energy written by Josep M. Guerrero and published by Elsevier. This book was released on 2024-02-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. Explores cutting-edge intelligent techniques and their implications for future energy systems development Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Artificial Intelligence in Energy and Renewable Energy Systems

Author : Soteris Kalogirou
Publisher : Nova Publishers
ISBN 13 : 9781600212611
Total Pages : 488 pages
Book Rating : 4.2/5 (126 download)

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Book Synopsis Artificial Intelligence in Energy and Renewable Energy Systems by : Soteris Kalogirou

Download or read book Artificial Intelligence in Energy and Renewable Energy Systems written by Soteris Kalogirou and published by Nova Publishers. This book was released on 2007 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. It covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities dealing with modelling and performance prediction of energy and renewable energy systems.

Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems

Author : Mohamed Abdelaziz Mohamed
Publisher : Springer
ISBN 13 : 3319647954
Total Pages : 75 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems by : Mohamed Abdelaziz Mohamed

Download or read book Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems written by Mohamed Abdelaziz Mohamed and published by Springer. This book was released on 2017-08-03 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system. This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing. It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.

Intelligent Control in Energy Systems

Author : Anastasios Dounis
Publisher : MDPI
ISBN 13 : 3039214152
Total Pages : 508 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Intelligent Control in Energy Systems by : Anastasios Dounis

Download or read book Intelligent Control in Energy Systems written by Anastasios Dounis and published by MDPI. This book was released on 2019-08-26 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Intelligent Control and Smart Energy Management

Author : Maude Josée Blondin
Publisher : Springer Nature
ISBN 13 : 3030844749
Total Pages : 434 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Control and Smart Energy Management by : Maude Josée Blondin

Download or read book Intelligent Control and Smart Energy Management written by Maude Josée Blondin and published by Springer Nature. This book was released on 2022-05-28 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.