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 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

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  • Author : Ammar Hamed Elsheikh
  • Publisher : Academic Press
  • Pages : 500 pages
  • ISBN : 9780128207932
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKArtificial Neural Networks for Renewable Energy Systems and Real World Applications

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 : 15 June 2021
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, 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 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 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, 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 October 2021
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

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 : 13 May 2021
GET THIS BOOKAI and IOT in Renewable Energy

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

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 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

Mathematical and Statistical Applications in Food Engineering

Mathematical and Statistical Applications in Food Engineering
  • Author : Surajbhan Sevda,Anoop Singh
  • Publisher : CRC Press
  • Release : 30 January 2020
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.

Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems

Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems
  • Author : Mrinmoy Majumder
  • Publisher : Springer
  • Release : 18 September 2017
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

Power Electronics in Renewable Energy Systems and Smart Grid

Power Electronics in Renewable Energy Systems and Smart Grid
  • Author : Bimal K. Bose
  • Publisher : John Wiley & Sons
  • Release : 30 July 2019
GET THIS BOOKPower Electronics in Renewable Energy Systems and Smart Grid

This book is an advanced approach to power electronics specifically in terms of renewable energy systems and smart grid. The fourteen chapters are updated and extended versions of the invited papers in the Proc. IEEE special issue of November 2017, contributed by a group of invited authors who are international authorities in their field. The application-oriented chapters are tutorial oriented, with technology status review. The book also includes examples of applications and discussions of future perspectives.

Design, Analysis and Applications of Renewable Energy Systems

Design, Analysis and Applications of Renewable Energy Systems
  • Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
  • Publisher : Academic Press
  • Release : 09 September 2021
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

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
  • Author : Tawfik Masrour,Ibtissam El Hassani,Anass Cherrafi
  • Publisher : Springer Nature
  • Release : 18 July 2020
GET THIS BOOKArtificial Intelligence and Industrial Applications

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,

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System
  • Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
  • Publisher : CRC Press
  • Release : 24 November 2021
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

Artificial Neural Networks

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

Design and Performance Optimization of Renewable Energy Systems

Design and Performance Optimization of Renewable Energy Systems
  • Author : Mamdouh Assad,Marc A. Rosen
  • Publisher : Academic Press
  • Release : 12 January 2021
GET THIS BOOKDesign and Performance Optimization of Renewable Energy Systems

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

Intelligent Systems and Signal Processing in Power Engineering

Intelligent Systems and Signal Processing in Power Engineering
  • Author : Abhisek Ukil
  • Publisher : Springer Science & Business Media
  • Release : 23 September 2007
GET THIS BOOKIntelligent Systems and Signal Processing in Power Engineering

This highly experienced author sets out to build a bridge between two inter-disciplinary power engineering practices. The book looks into two major fields used in modern power systems: intelligent systems and the signal processing. The intelligent systems section comprises fuzzy logic, neural network and support vector machine. The author looks at relevant theories on the topics without assuming much particular background. Following the theoretical basics, he studies their applications in various problems in power engineering, like, load forecasting, phase balancing,