Artificial Neural Networks for Renewable Energy Systems and Real World Applications

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  • Publisher : Academic Press
  • Release : 08 September 2022
  • ISBN : 9780128231869
  • Page : 290 pages
  • Rating : 4.5/5 from 103 voters

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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

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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications
  • Author : Ammar Hamed Elsheikh,Mohamed Elasyed Abd Elaziz
  • Publisher : Academic Press
  • Release Date : 2022-09-08
  • ISBN : 9780128231869
GET THIS BOOKArtificial Neural Networks for Renewable Energy Systems and Real-World Applications

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

Artificial Intelligence in Energy and Renewable Energy Systems

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  • Author : Soteris Kalogirou
  • Publisher : Nova Publishers
  • Release Date : 2007
  • ISBN : 1600212611
GET THIS BOOKArtificial Intelligence in Energy and Renewable Energy Systems

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

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  • Publisher : Springer
  • Release Date : 2011-08-20
  • ISBN : 9783642221767
GET THIS BOOKSoft Computing in Green and Renewable Energy Systems

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

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  • Publisher : Springer Nature
  • Release Date : 2021-05-12
  • ISBN : 9789811610110
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This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT

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  • Publisher : John Wiley & Sons
  • Release Date : 2022-03-02
  • ISBN : 9781119761693
GET THIS BOOKArtificial Intelligence for Renewable Energy Systems

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

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  • Publisher : CRC Press
  • Release Date : 2021-11-24
  • ISBN : 9781000392456
GET THIS BOOKIntroduction to AI Techniques for Renewable Energy System

Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems

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  • ISBN : 9780323859912
GET THIS BOOKDesign, Analysis and Applications of Renewable Energy Systems

Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with

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  • Publisher : Springer
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  • ISBN : 9789811062056
GET THIS BOOKApplication of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems

This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources. The irregularity in availability of resources and inefficiency in utilization of the available resources has reduced the potentiality of water and water based renewable energy resources. In recent years various soft computation methods (SCM) along with GIS were adopted to solve critical problems. The book collects various studies where many SCMs were used along

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GET THIS BOOKHandbook of Research on Solar Energy Systems and Technologies

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

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  • Publisher : Springer
  • Release Date : 2019-06-29
  • ISBN : 9783030207045
GET THIS BOOKValue Based and Intelligent Asset Management

The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed

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  • Author : Marcin Jewiarz
  • Publisher : MDPI
  • Release Date : 2020-11-23
  • ISBN : 9783039434220
GET THIS BOOKSelected paper from 6th International Conference on Renewable Energy Sources (ICoRES 2019)

Thank you for reaching for this book. It is a summary of the research presented at the 6th International Conference on Renewable Energy Sources (ICORES19), which took place in Krynica, Poland, in June 2019. This event is the most recognizable scientific meeting connected to RES in Poland. From the very beginning, this conference has been a unique occasion for gathering Polish and international researchers’ perspectives on renewable energy sources and balancing them against governmental policy considerations. Accordingly, the conference has also

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Compiles current research into the analysis and design ofpower electronic converters for industrial applications andrenewable energy systems, presenting modern and future applicationsof power electronics systems in the field of electricalvehicles With emphasis on the importance and long-term viability of PowerElectronics for Renewable Energy this book brings together thestate of the art knowledge and cutting-edge techniques in variousstages of research. The topics included are not currentlyavailable for practicing professionals and aim to enable the readerto directly apply the knowledge gained to

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The goal of the book is to provide basic and advanced knowledge of design, analysis, and circuit implementation for electronic instrumentation and clarify how to get the best out of the analog, digital, and computer circuitry design steps. The reader will learn the physical fundamentals guiding the electrical and mechanical devices that allow for a modern automation and control system, which are widely comprised of computers, electronic instrumentation, communication loops, smart grids, and digital circuitry. It includes practical and technical

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  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2021-07-16
  • ISBN : 9781668424094
GET THIS BOOKResearch Anthology on Artificial Neural Network Applications

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications

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GET THIS BOOKMathematical and Statistical Applications in Food Engineering

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.