Artificial Neural Networks For Renewable Energy Systems And Real World Applications

Author : Ammar Hamed Elsheikh
Publisher : Academic Press
ISBN 13 : 0128231866
Total Pages : 290 pages
Book Rating : 4.69/5 ( download)

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Download or read book Artificial Neural Networks for Renewable Energy Systems and Real-World Applications written by Ammar Hamed Elsheikh and published by Academic Press. This book was released on 2022-09-08 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis. Includes illustrative examples on the design and development of ANNS for renewable and manufacturing applications Features computer-aided simulations presented as algorithms, pseudocodes and flowcharts Covers ANN theory for easy reference in subsequent technology specific sections

Author : Ajay Kumar Vyas
Publisher : John Wiley & Sons
ISBN 13 : 1119761697
Total Pages : 276 pages
Book Rating : 4.93/5 ( download)

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Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Author : Rabindra Nath Shaw
Publisher : Academic Press
ISBN 13 : 0323984010
Total Pages : 248 pages
Book Rating : 4.10/5 ( download)

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Download or read book Applications of AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Academic Press. This book was released on 2022-02-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data

Author : Mellal, Mohamed Arezki
Publisher : IGI Global
ISBN 13 : 1799885631
Total Pages : 326 pages
Book Rating : 4.34/5 ( download)

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Download or read book Applications of Nature-Inspired Computing in Renewable Energy Systems written by Mellal, Mohamed Arezki and published by IGI Global. This book was released on 2021-12-17 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.

Author : Mohamed Arezki Mellal
Publisher : Engineering Science Reference
ISBN 13 : 9781799885610
Total Pages : pages
Book Rating : 4.15/5 ( download)

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Download or read book Applications of Nature-Inspired Computing in Renewable Energy Systems written by Mohamed Arezki Mellal and published by Engineering Science Reference. This book was released on 2021-12-17 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.

Author : Marcelo Godoy Simões
Publisher :
ISBN 13 : 9783039433346
Total Pages : 202 pages
Book Rating : 4.42/5 ( download)

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Download or read book Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids written by Marcelo Godoy Simões and published by . This book was released on 2020-10-13 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the handling of inexact, imprecise, qualitative, fuzzy, and verbal information systematically and rigorously. A neuro-fuzzy controller generates or tunes the rules or membership functions of a fuzzy controller with an artificial neural network approach. There are new instantaneous power theories that may address several challenges in power quality. So, this book presents different applications of artificial intelligence techniques in advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids.

Author : Suman Lata Tripathi
Publisher : CRC Press
ISBN 13 : 9781003104445
Total Pages : 448 pages
Book Rating : 4.44/5 ( download)

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Download or read book Introduction to AI Techniques for Renewable Energy System written by Suman Lata Tripathi and published by CRC Press. This book was released on 2021 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mir Sayed Shah Danish
Publisher : Springer Nature
ISBN 13 : 303153574X
Total Pages : 193 pages
Book Rating : 4.41/5 ( download)

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Download or read book Unified Vision for a Sustainable Future written by Mir Sayed Shah Danish and published by Springer Nature. This book was released on with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : A. A. M. Sayigh
Publisher : Elsevier
ISBN 13 : 0080540511
Total Pages : 634 pages
Book Rating : 4.11/5 ( download)

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Download or read book World Renewable Energy Congress VI written by A. A. M. Sayigh and published by Elsevier. This book was released on 2000-09-26 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The World Renewable Energy Congress is a key event at the start of the 21st century.It is a vital forum for researchers with an interest in helping renewables to reach their full potential. The effects of global warming and pollution are becoming more apparent for all to see - and the development of renewable solutions to these problems is increasingly important globally.If you were unable to attend the conference, the proceedings will provide an invaluable comprehensive summary of the latest topics and papers.

Author : Paul E Keller
Publisher : World Scientific
ISBN 13 : 9814547549
Total Pages : 240 pages
Book Rating : 4.43/5 ( download)

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Download or read book Applications Of Neural Networks In Environment, Energy And Health - Proceedings Of The 1995 Workshop On The Environment And Energy Applications Of Neural Networks written by Paul E Keller and published by World Scientific. This book was released on 1996-07-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the Workshop on Environmental and Energy Applications of Neural Networks. The purpose of this workshop was to provide a forum for discussing environmental, energy, and biomedical applications of neural networks. The applications covered in these proceedings include modeling and predicting soil, air and water pollution; waste reduction; environmental sensing; spectroscopy; hazardous waste handling and cleanup; environmental monitoring of power plants; process monitoring and optimization of power systems; modeling and control of power plants; power load forecasting; fault location and diagnosis of power systems; medical image and signal analysis; medical diagnosis; analysis of environmental health effects; health insurance, and modeling biological systems.