Artificial Neural Networks for Renewable Energy Systems and Real World Applications

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  • Author : Ammar Hamed Elsheikh
  • Publisher : Academic Press
  • Pages : 500 pages
  • ISBN : 0128231866
  • Rating : /5 from reviews
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Download or Read online Artificial Neural Networks for Renewable Energy Systems and Real World Applications full in PDF, ePub and kindle. this book written by Ammar Hamed Elsheikh and published by Academic Press which was released on 01 June 2021 with total page 500 pages. We cannot guarantee that Artificial Neural Networks for Renewable Energy Systems and Real World Applications book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modelling, analysis, and optimization of different energy systems and manufacturing processes. The applications of Artificial Neural Networks (ANN) in different engineering disciplines have attracted the attention of researchers to solve complex engineering problems that cannot be solved through conventional methods. 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 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 system and manufacturing process analysis. Includes illustrative examples of 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

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 Abd Elaziz
  • Publisher : Academic Press
  • Release : 01 June 2021
GET THIS BOOK Artificial 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, modelling, analysis, and optimization of different energy systems and manufacturing processes. The applications of Artificial Neural Networks (ANN) in different engineering disciplines have attracted the attention of researchers to solve complex engineering problems that cannot be solved through conventional methods. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
  • Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
  • Publisher : Springer Nature
  • Release : 18 January 2022
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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

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
  • Author : Soteris Kalogirou
  • Publisher : Nova Publishers
  • Release : 18 January 2022
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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

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Assessment and Simulation Tools for Sustainable Energy Systems
  • Author : Fausto Cavallaro
  • Publisher : Springer Science & Business Media
  • Release : 13 August 2013
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In recent years, the concept of energy has been revised and a new model based on the principle of sustainability has become more and more pervasive. The appraisal of energy technologies and projects is complex and uncertain as the related decision making has to encompass environmental, technical, economic and social factors and information sources. The scientific procedure of assessment has a vital role as it can supply the right tools to evaluate the actual situation and make realistic forecasts of

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Soft Computing in Green and Renewable Energy Systems
  • Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
  • Publisher : Springer
  • Release : 20 August 2011
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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

Introduction to AI Techniques for Renewable Energy System

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  • Publisher : CRC Press
  • Release : 24 November 2021
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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

Handbook of Research on Solar Energy Systems and Technologies

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  • Publisher : IGI Global
  • Release : 31 August 2012
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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

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  • Author : Mrinmoy Majumder
  • Publisher : Springer
  • Release : 18 September 2017
GET THIS BOOK Application 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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Artificial Intelligence in Renewable Energetic Systems
  • Author : Mustapha Hatti
  • Publisher : Springer
  • Release : 12 March 2018
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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

Artificial Neural Networks

Artificial Neural Networks
  • Author : Kenji Suzuki
  • Publisher : BoD – Books on Demand
  • Release : 04 April 2011
GET THIS BOOK Artificial Neural Networks

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material

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  • Author : Marcin Jewiarz
  • Publisher : MDPI
  • Release : 23 November 2020
GET THIS BOOK Selected 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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  • Author : Felix Alberto Farret,Marcelo Godoy Simões,Danilo Iglesias Brandão
  • Publisher : CRC Press
  • Release : 16 August 2017
GET THIS BOOK Electronic Instrumentation for Distributed Generation and Power Processes

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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  • Publisher : Springer
  • Release : 29 June 2019
GET THIS BOOK Value 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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  • Publisher : CRC Press
  • Release : 30 January 2020
GET THIS BOOK Mathematical 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.

Energy Systems

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  • Author : T. Ohta
  • Publisher : Elsevier
  • Release : 31 May 2013
GET THIS BOOK Energy Systems

This book consists mainly of revised versions of the papers presented at the "Energy Systems and Technologies: as Approached from Adaptive Complexity" symposium sessions during the 4th International Conference on "New Energy Systems and Conversions" (20-30 June 1999; Osaka University, Japan), as well as some pertinent additional research reports. In order to realise the adaptive complexity of a system, it is necessary to know the energy conversion mechanisms of the media. This book details a wide range of situations in which