Handbook of Artificial Intelligence Techniques in Photovoltaic Systems

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems
Author: Adel Mellit,Soteris Kalogirou
Publsiher: Academic Press
Total Pages: 374
Release: 2022-06-24
ISBN 10: 012820642X
ISBN 13: 9780128206423
Language: EN, FR, DE, ES & NL

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems Book Review:

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis provides readers with a comprehensive and detailed overview of the role of artificial intelligence in PV systems. Covering up-to-date research and methods on how, when and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase PV system efficiency. Sections cover problem-solving data for challenges, including optimization, advanced control, output power forecasting, fault detection identification and localization, and more. Supported by the use of MATLAB and Simulink examples, this comprehensive illustration of AI-techniques and their applications in photovoltaic systems will provide valuable guidance for scientists and researchers working in this area. Includes intelligent methods in real-time using reconfigurable circuits FPGAs, DSPs and MCs Discusses the newest trends in AI forecasting, optimization and control applications Features MATLAB and Simulink examples highlighted throughout

Photovoltaic Systems

Photovoltaic Systems
Author: K.Mohana Sundaram,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,P. Pandiyan
Publsiher: CRC Press
Total Pages: 150
Release: 2022-03-07
ISBN 10: 100054589X
ISBN 13: 9781000545890
Language: EN, FR, DE, ES & NL

Photovoltaic Systems Book Review:

This book provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels. It includes studies related to predictive maintenance needed to improve the performance of the solar PV systems using Artificial Intelligence (AI) techniques. The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications. Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV system Explains AC and DC side of the solar PV system-based electricity generation with real-time examples Covers effective extraction of the energy from solar radiation Illustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system Includes MATLAB® based simulations and results on fault diagnosis including case studies This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics.

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System
Author: Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publsiher: CRC Press
Total Pages: 432
Release: 2021-11-24
ISBN 10: 1000392457
ISBN 13: 9781000392456
Language: EN, FR, DE, ES & NL

Introduction to AI Techniques for Renewable Energy System Book Review:

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.

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies
Author: Anwar, Sohail
Publsiher: IGI Global
Total Pages: 614
Release: 2012-08-31
ISBN 10: 146661997X
ISBN 13: 9781466619975
Language: EN, FR, DE, ES & NL

Handbook of Research on Solar Energy Systems and Technologies Book Review:

The last ten years have seen rapid advances in nanoscience and nanotechnology, allowing unprecedented manipulation of the nanoscale structures controlling solar capture, conversion, and storage. Filled with cutting-edge solar energy research and reference materials, the Handbook of Research on Solar Energy Systems and Technologies serves as a one-stop resource for the latest information regarding different topical areas within solar energy. This handbook will emphasize the application of nanotechnology innovations to solar energy technologies, explore current and future developments in third generation solar cells, and provide a detailed economic analysis of solar energy applications.

McEvoy s Handbook of Photovoltaics

McEvoy s Handbook of Photovoltaics
Author: Soteris Kalogirou
Publsiher: Academic Press
Total Pages: 1340
Release: 2017-08-24
ISBN 10: 0128103973
ISBN 13: 9780128103975
Language: EN, FR, DE, ES & NL

McEvoy s Handbook of Photovoltaics Book Review:

Practical Handbook of Photovoltaics, Third Edition, is a 'benchmark' publication for those involved in the design, manufacture and use of these devices. This fully revised handbook includes brand new sections on smart grids, net metering and the modeling of photovoltaic systems, as well as fully revised content on developments in photovoltaic applications, the economics of PV manufacturing and updated chapters on solar cell function, raw materials, photovoltaic standards, calibration and testing, all with new examples and case studies. The editor has assembled internationally-respected contributors from industry and academia around the world to make this a truly global reference. It is essential reading for electrical engineers, designers of systems, installers, architects, policymakers and physicists working with photovoltaics. Presents a cast of international experts from industry and academia to ensure the highest quality information from multiple stakeholder perspectives Covers all things photovoltaics, from the principles of solar cell function and their raw materials, to the installation and design of full photovoltaic systems Includes case studies, practical examples, and reports on the latest advances and worldwide applications

A Practical Guide for Advanced Methods in Solar Photovoltaic Systems

A Practical Guide for Advanced Methods in Solar Photovoltaic Systems
Author: Adel Mellit,Mohamed Benghanem
Publsiher: Springer Nature
Total Pages: 271
Release: 2020-05-27
ISBN 10: 3030434737
ISBN 13: 9783030434731
Language: EN, FR, DE, ES & NL

A Practical Guide for Advanced Methods in Solar Photovoltaic Systems Book Review:

The present book focuses on recent advances methods and applications in photovoltaic (PV) systems. The book is divided into two parts: the first part deals with some theoretical, simulation and experiments on solar cells, including efficiency improvement, new materials and behavior performances. While the second part of the book devoted mainly on the application of advanced methods in PV systems, including advanced control, FPGA implementation, output power forecasting based artificial intelligence technique (AI), high PV penetration, reconfigurable PV architectures and fault detection and diagnosis based AI. The authors of the book trying to show to readers more details about some theoretical methods and applications in solar cells and PV systems (eg. advanced algorithms for control, optimization, power forecasting, monitoring and fault diagnosis methods). The applications are mainly carried out in different laboratories and location around the world as projects (Algeria, KSA, Turkey, Morocco, Italy and France). The book will be addressed to scientists, academics, researchers and PhD students working in this topic. The book will help readers to understand some applications including control, forecasting, monitoring, fault diagnosis of photovoltaic plants, as well as in solar cells such as behavior performances and efficiency improvement. It could be also be used as a reference and help industry sectors interested by prototype development.

Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
Author: Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publsiher: John Wiley & Sons
Total Pages: 480
Release: 2022-02-08
ISBN 10: 1119786274
ISBN 13: 9781119786276
Language: EN, FR, DE, ES & NL

Intelligent Renewable Energy Systems Book Review:

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.

Artificial Intelligence for Solar Photovoltaic Systems

Artificial Intelligence for Solar Photovoltaic Systems
Author: Bhavnesh Kumar,Bhanu Pratap,Vivek Shrivastava
Publsiher: CRC Press
Total Pages: 308
Release: 2022-07-29
ISBN 10: 1000618463
ISBN 13: 9781000618464
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Solar Photovoltaic Systems Book Review:

This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.

Handbook of Research on Smart Technology Models for Business and Industry

Handbook of Research on Smart Technology Models for Business and Industry
Author: Thomas, J. Joshua,Fiore, Ugo,Lechuga, Gilberto Perez,Kharchenko, Valeriy,Vasant, Pandian
Publsiher: IGI Global
Total Pages: 491
Release: 2020-06-19
ISBN 10: 1799836460
ISBN 13: 9781799836469
Language: EN, FR, DE, ES & NL

Handbook of Research on Smart Technology Models for Business and Industry Book Review:

Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications for nearly every industry. As the progress has, in turn, excited the interest of venture investors, technology firms, and a growing number of clients, implementing intelligent automation in both physical and information systems has become a must in business. Handbook of Research on Smart Technology Models for Business and Industry is an essential reference source that discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies. Featuring research on topics such as digital security, renewable energy, and intelligence management, this book is ideally designed for machine learning specialists, industrial experts, data scientists, researchers, academicians, students, and business professionals seeking coverage on current smart technology models.

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
Author: Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publsiher: Springer Nature
Total Pages: 109
Release: 2021-05-12
ISBN 10: 9811610118
ISBN 13: 9789811610110
Language: EN, FR, DE, ES & NL

AI and IOT in Renewable Energy Book Review:

This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. 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 engaged in the study and performance prediction of renewable energy systems.

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy
Author: Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram
Publsiher: CRC Press
Total Pages: 254
Release: 2021-05-27
ISBN 10: 1000391698
ISBN 13: 9781000391695
Language: EN, FR, DE, ES & NL

Applied Soft Computing and Embedded System Applications in Solar Energy Book Review:

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.

Handbook of Research on Industrial Informatics and Manufacturing Intelligence Innovations and Solutions

Handbook of Research on Industrial Informatics and Manufacturing Intelligence  Innovations and Solutions
Author: Khan, Mohammad Ayoub
Publsiher: IGI Global
Total Pages: 662
Release: 2012-03-31
ISBN 10: 1466602953
ISBN 13: 9781466602953
Language: EN, FR, DE, ES & NL

Handbook of Research on Industrial Informatics and Manufacturing Intelligence Innovations and Solutions Book Review:

"This book is the best source for the most current, relevant, cutting edge research in the field of industrial informatics focusing on different methodologies of information technologies to enhance industrial fabrication, intelligence, and manufacturing processes"--Provided by publisher.

AI and Machine Learning Paradigms for Health Monitoring System

AI and Machine Learning Paradigms for Health Monitoring System
Author: Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi
Publsiher: Springer Nature
Total Pages: 513
Release: 2021-02-14
ISBN 10: 9813344121
ISBN 13: 9789813344129
Language: EN, FR, DE, ES & NL

AI and Machine Learning Paradigms for Health Monitoring System Book Review:

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Artificial Intelligence for Solar Photovoltaic Systems

Artificial Intelligence for Solar Photovoltaic Systems
Author: Bhavnesh Kumar,Bhanu Pratap,Vivek Shrivastava
Publsiher: CRC Press
Total Pages: 308
Release: 2022-07-29
ISBN 10: 1000618439
ISBN 13: 9781000618433
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Solar Photovoltaic Systems Book Review:

This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.

Proceedings of 3rd International Conference on Machine Learning Advances in Computing Renewable Energy and Communication

Proceedings of 3rd International Conference on Machine Learning  Advances in Computing  Renewable Energy and Communication
Author: Anuradha Tomar,Hasmat Malik,Pramod Kumar,Atif Iqbal
Publsiher: Springer Nature
Total Pages: 774
Release: 2022-09-17
ISBN 10: 9811928282
ISBN 13: 9789811928284
Language: EN, FR, DE, ES & NL

Proceedings of 3rd International Conference on Machine Learning Advances in Computing Renewable Energy and Communication Book Review:

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.

Solar Photovoltaic Power Plants

Solar Photovoltaic Power Plants
Author: Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan
Publsiher: Springer
Total Pages: 250
Release: 2019-02-07
ISBN 10: 9811361517
ISBN 13: 9789811361517
Language: EN, FR, DE, ES & NL

Solar Photovoltaic Power Plants Book Review:

This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated.

A Practical Guide for Simulation and FPGA Implementation of Digital Design

A Practical Guide for Simulation and FPGA Implementation of Digital Design
Author: Bekkay Hajji
Publsiher: Springer Nature
Total Pages: 335
Release: 2022
ISBN 10: 9811906157
ISBN 13: 9789811906152
Language: EN, FR, DE, ES & NL

A Practical Guide for Simulation and FPGA Implementation of Digital Design Book Review:

This book introduces the FPGA technology used in the laboratory sessions, and provides a step-by-step guide for designing and simulation of digital circuits. It utilizes the VHDL language, which is one of the most common language used to describe the design of digital systems. The Quartus II, Xilinx ISE 14.7 and ModelSim software are used to process the VHDL code and make simulations, and then the Altera and Xilinx FPGA platforms are employed to implement the simulated digital designs. The book is composed of four parts. The first part of this book has two chapters and covers various aspects: FPGA architectures, ASIC vs FPGA comparison, FPGA design flow and basic VHDL concepts necessary to describe the design of digital systems. The second part of the book includes three chapters that deal with the design of digital circuits such as combinational logic circuits, sequential logic circuits and finite state machines. The third part of the book is reserved for laboratory projects carried out on the FPGA platform. It is a largely hands-on lab class for design digital circuits and implementing their designs on the Altera FPGA platform. Finally, the fourth part of this work is devoted to recent applications carried out on FPGAs, in particular advanced techniques in renewable energy systems. The book is primarily intended for students, scholars, and industrial practitioners interested in the design of modern digital systems.

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
Author: Soteris Kalogirou
Publsiher: Nova Publishers
Total Pages: 471
Release: 2007
ISBN 10: 9781600212611
ISBN 13: 1600212611
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Energy and Renewable Energy Systems Book Review:

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.

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Author: Mustapha Hatti
Publsiher: Springer Nature
Total Pages: 920
Release: 2022
ISBN 10: 3030920380
ISBN 13: 9783030920388
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Book Review:

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations--mainly ICT--the concept of "Smart City" appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems
Author: Ali M. Eltamaly,Almoataz Y. Abdelaziz
Publsiher: Springer
Total Pages: 486
Release: 2019-08-01
ISBN 10: 3030055787
ISBN 13: 9783030055783
Language: EN, FR, DE, ES & NL

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems Book Review:

This book introduces and analyses the latest maximum power point tracking (MPPT) techniques, which can effectively reduce the cost of power generated from photovoltaic energy systems. It also presents a detailed description, analysis, and comparison of various MPPT techniques applied to stand-alone systems and those interfaced with electric utilities, examining their performance under normal and abnormal operating conditions. These techniques, which and can be conventional or smart, are a current hot topic, and this book is a valuable reference resource for academic researchers and industry professionals who are interested in exploring and implementing advanced MPPT for photovoltaic systems. It is also useful for graduate students who are looking to expand their knowledge of MPPT techniques.