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Handbook Of Artificial Intelligence Techniques In Photovoltaic Systems

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Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems Book
Author : Soteris Kalogirou
Publisher : Nova Publishers
Release : 2007
ISBN : 9781600212611
Language : En, Es, Fr & De

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Book Description :

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.

McEvoy s Handbook of Photovoltaics

McEvoy s Handbook of Photovoltaics Book
Author : Soteris Kalogirou
Publisher : Academic Press
Release : 2017-08-24
ISBN : 0128103973
Language : En, Es, Fr & De

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Book Description :

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

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems Book
Author : Ali M. Eltamaly,Almoataz Y. Abdelaziz
Publisher : Springer
Release : 2019-08-01
ISBN : 3030055787
Language : En, Es, Fr & De

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Book Description :

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.

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System Book
Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publisher : Unknown
Release : 2021
ISBN : 9780367610920
Language : En, Es, Fr & De

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Book Description :

"The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. Book outlines selected AI applications for renewable energy. In particular, discusses methods using the AI approach for the following applications using suitable examples: prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems"--

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies Book
Author : Anwar, Sohail
Publisher : IGI Global
Release : 2012-08-31
ISBN : 146661997X
Language : En, Es, Fr & De

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Book Description :

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.

Handbook of Research on Smart Technology Models for Business and Industry

Handbook of Research on Smart Technology Models for Business and Industry Book
Author : Thomas, J. Joshua,Fiore, Ugo,Lechuga, Gilberto Perez,Kharchenko, Valeriy,Vasant, Pandian
Publisher : IGI Global
Release : 2020-06-19
ISBN : 1799836460
Language : En, Es, Fr & De

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Book Description :

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.

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities Book
Author : Mustapha Hatti
Publisher : Springer
Release : 2018-11-23
ISBN : 303004789X
Language : En, Es, Fr & De

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Book Description :

This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

A Practical Guide for Advanced Methods in Solar Photovoltaic Systems

A Practical Guide for Advanced Methods in Solar Photovoltaic Systems Book
Author : Adel Mellit,Mohamed Benghanem
Publisher : Springer Nature
Release : 2020-05-27
ISBN : 3030434737
Language : En, Es, Fr & De

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Book Description :

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.

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles Book
Author : Chitra A.,P. Sanjeevikumar,Jens Bo Holm-Nielsen,S. Himavathi
Publisher : John Wiley & Sons
Release : 2020-07-21
ISBN : 1119681901
Language : En, Es, Fr & De

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Book Description :

Electric vehicles/hybrid electric vehicles (EV/HEV) commercialization is still a challenge in industries in terms of performance and cost. The performance along with cost reduction are two tradeoffs which need to be researched to arrive at an optimal solution. This book focuses on the convergence of various technologies involved in EV/HEV. The book brings together the research that is being carried out in the field of EV/HEV whose leading role is by optimization techniques with artificial intelligence (AI). Other featured research includes green drive schemes which involve the possible renewable energy sources integration to develop eco-friendly green vehicles, as well as Internet of Things (IoT)-based techniques for EV/HEVs. Electric vehicle research involves multi-disciplinary expertise from electrical, electronics, mechanical engineering and computer science. Consequently, this book serves as a point of convergence wherein all these domains are addressed and merged and will serve as a potential resource for industrialists and researchers working in the domain of electric vehicles.

Encyclopedia of Artificial Intelligence

Encyclopedia of Artificial Intelligence Book
Author : Juan Ramon Rabunal,Julian Dorado,Alejandro Pazos Sierra
Publisher : IGI Global
Release : 2009-01-01
ISBN : 1599048507
Language : En, Es, Fr & De

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Book Description :

"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

Proceedings of International Conference on Artificial Intelligence Smart Grid and Smart City Applications

Proceedings of International Conference on Artificial Intelligence  Smart Grid and Smart City Applications Book
Author : L. Ashok Kumar,L. S. Jayashree,R. Manimegalai
Publisher : Springer Nature
Release : 2020-03-12
ISBN : 3030240517
Language : En, Es, Fr & De

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Book Description :

Due to the complexity, and heterogeneity of the smart grid and the high volume of information to be processed, artificial intelligence techniques and computational intelligence appear to be some of the enabling technologies for its future development and success. The theme of the book is “Making pathway for the grid of future” with the emphasis on trends in Smart Grid, renewable interconnection issues, planning-operation-control and reliability of grid, real time monitoring and protection, market, distributed generation and power distribution issues, power electronics applications, computer-IT and signal processing applications, power apparatus, power engineering education and industry-institute collaboration. The primary objective of the book is to review the current state of the art of the most relevant artificial intelligence techniques applied to the different issues that arise in the smart grid development.

Solar Photovoltaic Power Plants

Solar Photovoltaic Power Plants Book
Author : Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan
Publisher : Springer
Release : 2019-02-07
ISBN : 9811361517
Language : En, Es, Fr & De

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Book Description :

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.

Applications of Artificial Intelligence Techniques in Engineering

Applications of Artificial Intelligence Techniques in Engineering Book
Author : Hasmat Malik,Smriti Srivastava,Yog Raj Sood,Aamir Ahmad
Publisher : Springer
Release : 2018-09-18
ISBN : 9811318220
Language : En, Es, Fr & De

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Book Description :

The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

AI and Machine Learning Paradigms for Health Monitoring System

AI and Machine Learning Paradigms for Health Monitoring System Book
Author : Hasmat Malik
Publisher : Springer Nature
Release : 2021-05-13
ISBN : 9813344121
Language : En, Es, Fr & De

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Book Description :

Download AI and Machine Learning Paradigms for Health Monitoring System book written by Hasmat Malik, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Soft Computing in Green and Renewable Energy Systems

Soft Computing in Green and Renewable Energy Systems Book
Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer Science & Business Media
Release : 2011-08-20
ISBN : 3642221750
Language : En, Es, Fr & De

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Book Description :

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 Book
Author : Aboul Ella Hassanien,Khaled Shaalan,Mohamed Fahmy Tolba
Publisher : Springer Nature
Release : 2019-10-02
ISBN : 3030311295
Language : En, Es, Fr & De

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Book Description :

This book presents the proceedings of the 5th International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI2019), which took place in Cairo, Egypt, from October 26 to 28, 2019. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: machine learning and applications, swarm optimization and applications, robotic and control systems, sentiment analysis, e-learning and social media education, machine and deep learning algorithms, recognition and image processing, intelligent systems and applications, mobile computing and networking, cyber-physical systems and security, smart grids and renewable energy, and micro-grid and power systems.

Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems

Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems Book
Author : Bekkay Hajji,Adel Mellit,Giuseppe Marco Tina,Abdelhamid Rabhi,Jerome Launay,Salah Eddine Naimi
Publisher : Springer Nature
Release : 2020-08-14
ISBN : 9811562598
Language : En, Es, Fr & De

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Book Description :

This book includes papers presented at the Second International Conference on Electronic Engineering and Renewable Energy (ICEERE 2020), which focus on the application of artificial intelligence techniques, emerging technology and the Internet of things in electrical and renewable energy systems, including hybrid systems, micro-grids, networking, smart health applications, smart grid, mechatronics and electric vehicles. It particularly focuses on new renewable energy technologies for agricultural and rural areas to promote the development of the Euro-Mediterranean region. Given its scope, the book is of interest to graduate students, researchers and practicing engineers working in the fields of electronic engineering and renewable energy.

Innovations in Applied Artificial Intelligence

Innovations in Applied Artificial Intelligence Book
Author : Bob Orchard,Chunsheng Yang,Ali Moonis
Publisher : Springer
Release : 2004-04-22
ISBN : 3540246770
Language : En, Es, Fr & De

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Book Description :

“Intelligent systems must perform in order to be in demand. ” Intelligent systems technology is being applied steadily in solving many day-to-day problems. Each year the list of real-world deployed applications that inconspicuously host the results of research in the area grows considerably. These applications are having a significant impact in industrial operations, in financial circles, in transportation, in education, in medicine, in consumer products, in games and elsewhere. A set of selected papers presented at the seventeenth in the series of conferences on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2004), sponsored by the International Society of Applied Intelligence, is offered in this manuscript. These papers highlight novel applications of the technology and show how new research could lead to new and innovative applications. We hope that you find these papers to be educational, useful in your own research, and stimulating. In addition, we have introduced some special sessions to emphasize a few areas of artificial intelligence (AI) that are either relatively new, have received considerable attention recently or perhaps have not yet been represented well. To this end, we have included special sessions on e-learning, bioinformatics, and human-robot interaction (HRI) to complement the usual offerings in areas such as data mining, machine learning, intelligent systems, neural networks, genetic algorithms, autonomous agents, natural language processing, intelligent user interfaces, evolutionary computing, fuzzy logic, computer vision and image processing, reasoning, heuristic search, security, Internet applications, constraint satisfaction problems, design, and expert systems.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems Book
Author : L Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publisher : Springer
Release : 2014-11-25
ISBN : 8132221354
Language : En, Es, Fr & De

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Book Description :

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Methods Algorithms and Circuits for Photovoltaic Systems Diagnosis and Control

Methods  Algorithms and Circuits for Photovoltaic Systems Diagnosis and Control Book
Author : Giovanni Spagnuolo,Mattia Ricco
Publisher : MDPI
Release : 2021-04-29
ISBN : 3036505407
Language : En, Es, Fr & De

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Book Description :

In modern photovoltaic systems, there is an ever-increasing need to improve the system efficiency, to detect internal faults and to guarantee service continuity. The only way to meet these objectives is to utilize and create synergies between diagnostic techniques and control algorithms. Diagnostic methods can be implemented through module-dedicated electronics, by running on real-time embedded systems or by using a huge database on the cloud, profiting from artificial intelligence, machine learning, and classifiers. Model-based diagnostic approaches and data-driven methods are attracting the interest of the scientific community for the automatic detection of phenomena like the occurrence of hot spots, the increase of the ohmic losses, the degradation due to unexpected potentials (PID), switch failures in power electronic converters, and also the reduction of the power production due to soiling or partial shadowing. The detection of malfunctioning or even faults affecting the whole power conversion chain, from the photovoltaic modules to the power conversion stages, allows to perform proper control actions, also in terms of MPPT. Control algorithms, running on an embedded system, are optimized, e.g., through the online adaptation of their own parameters, by suitably processing data coming from the diagnostic algorithms. This book presents recent and original results about the diagnostic approaches to photovoltaic modules and related power electronics and control strategies with the aim to maximize the photovoltaic output power, to increase the whole system efficiency and to guarantee service continuity.