Download Handbook of artificial intelligence techniques in photovoltaic systems Ebook PDF

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
A Book

by Soteris Kalogirou

  • Publisher : Nova Publishers
  • Release : 2007
  • Pages : 471
  • ISBN : 9781600212611
  • Language : En, Es, Fr & De
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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.

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System
A Book

by Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban

  • Publisher : Unknown Publisher
  • Release : 2021
  • Pages : 448
  • ISBN : 9780367610920
  • Language : En, Es, Fr & De
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"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"--

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems
A Book

by Ali M. Eltamaly,Almoataz Y. Abdelaziz

  • Publisher : Springer
  • Release : 2019-08-01
  • Pages : 486
  • ISBN : 3030055787
  • Language : En, Es, Fr & De
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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.

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies
A Book

by Anwar, Sohail

  • Publisher : IGI Global
  • Release : 2012-08-31
  • Pages : 614
  • ISBN : 146661997X
  • Language : En, Es, Fr & De
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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
A Book

by Thomas, J. Joshua,Fiore, Ugo,Lechuga, Gilberto Perez,Kharchenko, Valeriy,Vasant, Pandian

  • Publisher : IGI Global
  • Release : 2020-06-19
  • Pages : 491
  • ISBN : 1799836460
  • Language : En, Es, Fr & De
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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.

A Practical Guide for Advanced Methods in Solar Photovoltaic Systems

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

by Adel Mellit,Mohamed Benghanem

  • Publisher : Springer Nature
  • Release : 2020-05-27
  • Pages : 271
  • ISBN : 3030434737
  • Language : En, Es, Fr & De
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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.

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities
Artificial Intelligence in Renewable Energetic Systems

by Mustapha Hatti

  • Publisher : Springer
  • Release : 2018-11-23
  • Pages : 569
  • ISBN : 303004789X
  • Language : En, Es, Fr & De
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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.

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
A Book

by Chitra A.,P. Sanjeevikumar,Jens Bo Holm-Nielsen,S. Himavathi

  • Publisher : John Wiley & Sons
  • Release : 2020-07-21
  • Pages : 288
  • ISBN : 1119681901
  • Language : En, Es, Fr & De
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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
A Book

by Juan Ramon Rabunal,Julian Dorado,Alejandro Pazos Sierra

  • Publisher : IGI Global
  • Release : 2009-01-01
  • Pages : 1640
  • ISBN : 1599048507
  • Language : En, Es, Fr & De
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"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.

Solar Photovoltaic Power Plants

Solar Photovoltaic Power Plants
Advanced Control and Optimization Techniques

by Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan

  • Publisher : Springer
  • Release : 2019-02-07
  • Pages : 250
  • ISBN : 9811361517
  • Language : En, Es, Fr & De
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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.

AI and Machine Learning Paradigms for Health Monitoring System

AI and Machine Learning Paradigms for Health Monitoring System
Intelligent Data Analytics

by Hasmat Malik

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9813344121
  • Language : En, Es, Fr & De
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Applications of Artificial Intelligence Techniques in Engineering

Applications of Artificial Intelligence Techniques in Engineering
SIGMA 2018

by Hasmat Malik,Smriti Srivastava,Yog Raj Sood,Aamir Ahmad

  • Publisher : Springer
  • Release : 2018-09-18
  • Pages : 647
  • ISBN : 9811318220
  • Language : En, Es, Fr & De
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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.

Weather Modeling and Forecasting of PV Systems Operation

Weather Modeling and Forecasting of PV Systems Operation
A Book

by Marius Paulescu,Eugenia Paulescu,Paul Gravila,Viorel Badescu

  • Publisher : Springer Science & Business Media
  • Release : 2012-11-05
  • Pages : 358
  • ISBN : 1447146492
  • Language : En, Es, Fr & De
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In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization. “p>

Soft Computing in Green and Renewable Energy Systems

Soft Computing in Green and Renewable Energy Systems
A Book

by Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou

  • Publisher : Springer Science & Business Media
  • Release : 2011-08-20
  • Pages : 306
  • ISBN : 3642221750
  • Language : En, Es, Fr & De
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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
A Book

by Aboul Ella Hassanien,Khaled Shaalan,Mohamed Fahmy Tolba

  • Publisher : Springer Nature
  • Release : 2019-10-02
  • Pages : 1090
  • ISBN : 3030311295
  • Language : En, Es, Fr & De
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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
ICEERE 2020, 13-15 April 2020, Saidia, Morocco

by Bekkay Hajji,Adel Mellit,Giuseppe Marco Tina,Abdelhamid Rabhi,Jerome Launay,Salah Eddine Naimi

  • Publisher : Springer Nature
  • Release : 2020-08-14
  • Pages : 896
  • ISBN : 9811562598
  • Language : En, Es, Fr & De
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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
17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, Ottawa, Canada, May 17-20, 2004. Proceedings

by Bob Orchard,Chunsheng Yang,Ali Moonis

  • Publisher : Springer
  • Release : 2004-04-22
  • Pages : 1278
  • ISBN : 3540246770
  • Language : En, Es, Fr & De
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“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
Proceedings of ICAEES 2014

by L Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi

  • Publisher : Springer
  • Release : 2014-11-25
  • Pages : 873
  • ISBN : 8132221354
  • Language : En, Es, Fr & De
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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.

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy
A Book

by Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram

  • Publisher : CRC Press
  • Release : 2021-05-27
  • Pages : 254
  • ISBN : 1000391736
  • Language : En, Es, Fr & De
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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.

Advances in Automation, Signal Processing, Instrumentation, and Control

Advances in Automation, Signal Processing, Instrumentation, and Control
Select Proceedings of i-CASIC 2020

by Venkata Lakshmi Narayana Komanapalli

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811582211
  • Language : En, Es, Fr & De
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