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Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
  • Author : Soteris Kalogirou
  • Publisher :Unknown
  • Release Date :2007
  • Total pages :471
  • ISBN : 1600212611
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Summary : 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.

Handbook of Research on Solar Energy Systems and Technologies

Handbook of Research on Solar Energy Systems and Technologies
  • Author : Anwar, Sohail
  • Publisher :Unknown
  • Release Date :2012-08-31
  • Total pages :614
  • ISBN : 9781466619975
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Summary : 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.

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
  • Publisher :Unknown
  • Release Date :2020-05-27
  • Total pages :271
  • ISBN : 9783030434731
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Summary : 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.

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
  • Publisher :Unknown
  • Release Date :2020-06-19
  • Total pages :491
  • ISBN : 9781799836469
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Summary : 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.

Energy Harvesting

Energy Harvesting
  • Author : Reccab Manyala
  • Publisher :Unknown
  • Release Date :2018-06-27
  • Total pages :92
  • ISBN : 9781789233926
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Summary : This book contains chapters that discuss numerous methods and techniques in energy harvesting. Both theoretical and experimental results are presented from investigations that were carried out in the various chapters. Well-grounding methods and techniques presented in the new areas provide a good head start not only to those with interest in energy harvesting but also to experienced researchers who may want to look at energy harvesting from different angles. The concepts of energy harvesting are well articulated in the introduction of each chapter. It is my sincere hope that the readers of this book will find it a useful fountain of knowledge in energy harvesting.

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities
  • Author : Mustapha Hatti
  • Publisher :Unknown
  • Release Date :2018-11-23
  • Total pages :569
  • ISBN : 9783030047894
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Summary : 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
  • Author : Adel Mellit,Mohamed Benghanem
  • Publisher :Unknown
  • Release Date :2020-05-28
  • Total pages :271
  • ISBN : 3030434729
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Summary : 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 Intelligence in Renewable Energetic Systems

Artificial Intelligence in Renewable Energetic Systems
  • Author : Mustapha Hatti
  • Publisher :Unknown
  • Release Date :2018-03-12
  • Total pages :531
  • ISBN : 9783319731926
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Summary : This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

Encyclopedia of Artificial Intelligence

Encyclopedia of Artificial Intelligence
  • Author : Juan Ramon Rabunal,Julian Dorado,Alejandro Pazos Sierra
  • Publisher :Unknown
  • Release Date :2009-01-01
  • Total pages :1640
  • ISBN : 9781599048505
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Summary : "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.

Design and Development of Efficient Energy Systems

Design and Development of Efficient Energy Systems
  • Author : Suman Lata Tripathi,Dushyant Kumar Singh,Sanjeevikumar Padmanaban,P. Raja
  • Publisher :Unknown
  • Release Date :2021-04-13
  • Total pages :384
  • ISBN : 9781119761631
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Summary : There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society. This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.

Photovoltaic Water Pumping Systems

Photovoltaic Water Pumping Systems
  • Author : Tamer Khatib,Dhiaa Halbot Muhsen
  • Publisher :Unknown
  • Release Date :2020-11-23
  • Total pages :310
  • ISBN : 9780128227404
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Summary : Photovoltaic Water Pumping Systems: Concept, Design and Methods of Optimization looks at the potential of effectively designed PVPS and how they can be commercially efficient and economically competitive to grid connected or diesel generator (DG) based pumping systems. The low energy conversion efficiency of PV modules, nonlinearity of PV module/array I-V characteristics and the unique maximum power operation point are major challenges of this technology, this book provides readers with design and optimization methods, codes and critical analysis of the recent developments in PV pumping systems. Focusing on system feasibility and suitable applications with design procedures, this reference presents a critical analysis of PVPS field performance, modeling and control strategies using artificial intelligence techniques. A suitable text for researchers, engineers and graduate students who are working in the field of photovoltaics and pumping and systems. Uses open source Matlab codes for PV pumping system optimization Provides global cases studies and design examples for comparison Includes a data source sheet for proposed systems for successful implementation methods

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
  • Publisher :Unknown
  • Release Date :2019-08-01
  • Total pages :486
  • ISBN : 9783030055783
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Summary : 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
  • Author : Suman Lata Tripathi
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :448
  • ISBN : 1003104444
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Summary : This book helps the undergraduate, graduate students and Academician to learn the concept of Artificial Intelligence techniques used in renewal energy with suitable real-life examples. 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 (e.g. inferior quality of data, in-sufficient long series, etc.). For overcoming these problems, AI techniques appear to be one of the most substantial parts of the book. 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. Key selling Features: The impact of the proposed book is to provide a significant area of concern to develop a foundation for the implementation process renewable energy system with intelligent techniques. The researchers working on a renewable energy system can correlate their work with intelligent and machine learning approaches. To make aware of the international standards for intelligent renewable energy systems design, reliability and maintenance. To give better incites of the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems.

The Handbook of Artificial Intelligence

The Handbook of Artificial Intelligence
  • Author : Avron Barr,Edward A. Feigenbaum
  • Publisher :Unknown
  • Release Date :2014-05-12
  • Total pages :442
  • ISBN : 9781483214382
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Summary : The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
  • Author : Rabindra Nath Shaw
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 9789811610110
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Summary :

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
  • Author : Chitra A.,S. Padmanaban,Jens Bo Holm-Nielsen,S. Himavathi
  • Publisher :Unknown
  • Release Date :2020-07-10
  • Total pages :288
  • ISBN : 9781119682011
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Summary : 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.

Design and Performance Optimization of Renewable Energy Systems

Design and Performance Optimization of Renewable Energy Systems
  • Author : Mamdouh Assad,Marc A. Rosen
  • Publisher :Unknown
  • Release Date :2021-01-12
  • Total pages :318
  • ISBN : 9780128232323
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Summary : Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency

Applications of Artificial Intelligence Techniques in Engineering

Applications of Artificial Intelligence Techniques in Engineering
  • Author : Hasmat Malik,Smriti Srivastava,Yog Raj Sood,Aamir Ahmad
  • Publisher :Unknown
  • Release Date :2019
  • Total pages :229
  • ISBN : 9811318239
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Summary : 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.

Power Electronics in Renewable Energy Systems and Smart Grid

Power Electronics in Renewable Energy Systems and Smart Grid
  • Author : Bimal K. Bose
  • Publisher :Unknown
  • Release Date :2019-06-27
  • Total pages :752
  • ISBN : 9781119515654
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Summary : The comprehensive and authoritative guide to power electronics in renewable energy systems Power electronics plays a significant role in modern industrial automation and high- efficiency energy systems. With contributions from an international group of noted experts, Power Electronics in Renewable Energy Systems and Smart Grid: Technology and Applications offers a comprehensive review of the technology and applications of power electronics in renewable energy systems and smart grids. The authors cover information on a variety of energy systems including wind, solar, ocean, and geothermal energy systems as well as fuel cell systems and bulk energy storage systems. They also examine smart grid elements, modeling, simulation, control, and AI applications. The book's twelve chapters offer an application-oriented and tutorial viewpoint and also contain technology status review. In addition, the book contains illustrative examples of applications and discussions of future perspectives. This important resource: Includes descriptions of power semiconductor devices, two level and multilevel converters, HVDC systems, FACTS, and more Offers discussions on various energy systems such as wind, solar, ocean, and geothermal energy systems, and also fuel cell systems and bulk energy storage systems Explores smart grid elements, modeling, simulation, control, and AI applications Contains state-of-the-art technologies and future perspectives Provides the expertise of international authorities in the field Written for graduate students, professors in power electronics, and industry engineers, Power Electronics in Renewable Energy Systems and Smart Grid: Technology and Applications offers an up-to-date guide to technology and applications of a wide-range of power electronics in energy systems and smart grids.

American Book Publishing Record

American Book Publishing Record
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2007
  • Total pages :229
  • ISBN : UOM:39015066180442
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Summary :

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
  • Author : Tawfik Masrour,Ibtissam El Hassani,Anass Cherrafi
  • Publisher :Unknown
  • Release Date :2020-07-18
  • Total pages :324
  • ISBN : 9783030539702
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Summary : This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.