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

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
  • Author : Soteris Kalogirou
  • Publisher : Nova Publishers
  • Release : 18 May 2021
GET THIS BOOK Artificial 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

Soft Computing in Green and Renewable Energy Systems

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

Assessment and Simulation Tools for Sustainable Energy Systems

Assessment and Simulation Tools for Sustainable Energy Systems
  • Author : Fausto Cavallaro
  • Publisher : Springer Science & Business Media
  • Release : 13 August 2013
GET THIS BOOK Assessment and Simulation Tools for Sustainable Energy Systems

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

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
  • Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
  • Publisher : Springer
  • Release : 21 May 2021
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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

AI and Learning Systems

AI and Learning Systems
  • Author : Konstantinos Kyprianidis,Erik Dahlquist
  • Publisher : BoD – Books on Demand
  • Release : 17 February 2021
GET THIS BOOK AI and Learning Systems

Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information

Intelligent Automation in Renewable Energy

Intelligent Automation in Renewable Energy
  • Author : Tetyana Baydyk,Ernst Kussul,Donald C. Wunsch II
  • Publisher : Springer
  • Release : 05 February 2019
GET THIS BOOK Intelligent Automation in Renewable Energy

After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.

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
  • Author : Bekkay Hajji,Adel Mellit,Giuseppe Marco Tina,Abdelhamid Rabhi,Jerome Launay,Salah Eddine Naimi
  • Publisher : Springer Nature
  • Release : 14 August 2020
GET THIS BOOK Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems

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

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities
  • Author : Mustapha Hatti
  • Publisher : Springer
  • Release : 23 November 2018
GET THIS BOOK Renewable Energy for Smart and Sustainable Cities

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

Research Centers Directory

Research Centers Directory
  • Author : Anonim
  • Publisher : Unknown
  • Release : 18 May 2021
GET THIS BOOK Research Centers Directory

Research institutes, foundations, centers, bureaus, laboratories, experiment stations, and other similar nonprofit facilities, organizations, and activities in the United States and Canada. Entry gives identifying and descriptive information of staff and work. Institutional, research centers, and subject indexes. 5th ed., 5491 entries; 6th ed., 6268 entries.