Advanced Methods For Processing And Visualizing The Renewable Energy
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Advanced Methods For Processing And Visualizing The Renewable Energy
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Author : Samsul Ariffin Abdul Karim
language : en
Publisher:
Release Date : 2021
Advanced Methods For Processing And Visualizing The Renewable Energy written by Samsul Ariffin Abdul Karim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.
Advanced Methods For Processing And Visualizing The Renewable Energy
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Author : Samsul Ariffin Abdul Karim
language : en
Publisher: Springer Nature
Release Date : 2020-10-21
Advanced Methods For Processing And Visualizing The Renewable Energy written by Samsul Ariffin Abdul Karim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Technology & Engineering categories.
This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.
Advanced Computational Techniques For Renewable Energy Systems
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Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2023-02-13
Advanced Computational Techniques For Renewable Energy Systems written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-13 with Technology & Engineering categories.
In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
Intelligent Renewable Energy Systems
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Author : Neeraj Priyadarshi
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-19
Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.
Transforming Energy Through Computational Excellence Advanced Scientific Visualization Reveals Energy Insights
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Author :
language : en
Publisher:
Release Date : 2022
Transforming Energy Through Computational Excellence Advanced Scientific Visualization Reveals Energy Insights written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
The National Renewable Energy Laboratory's world-class researchers and analysts, along with the Insight Center (our state-of-the-art scientific visualization facility) make data immersion a reality, allowing users to step into and explore their data. With the rise of large, diverse, and distributed data sets, scientific visualization is now critical to the process of scientific discovery and to managing and analyzing data and extracting insights. NREL provides visualization capabilities and facilities that are supported by state-of-the-art equipment, leading-edge techniques, and expert staff.
Renewable Energy Driven Future
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Author : Jingzheng Ren
language : en
Publisher: Academic Press
Release Date : 2020-09-16
Renewable Energy Driven Future written by Jingzheng Ren and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-16 with Technology & Engineering categories.
In order to promote the sustainable development of renewable energy and renewable-energy-driven technologies, Renewable-Energy-Driven Future: Technologies, Modelling, Applications, Sustainability and Policies provides a comprehensive view of the advanced renewable technologies and the benefits of utilizing renewable energy sources. Discussing the ways for promoting the sustainable development of renewable energy from the perspectives of technology, modelling, application, sustainability and policy, this book includes the advanced renewable-energy-driven technologies, the models for renewable energy planning and integration, the innovative applications of renewable energy sources, decision-support tools for sustainability assessment and ranking of renewable energy systems, and the regulations and policies of renewable energy. This book can benefit the researchers and experts of renewable energy by helping them to have a holistic view of renewable energy. It can also benefit the policymakers and decision-makers by helping them to make informed decisions. Presents the advanced renewable-energy-driven technologies and the innovative applications of renewable energy sources Develops the models for the efficient use of renewable energy, decision-making and the investigation of its climate and economic benefits Investigates the sustainability of renewable energy systems Features the regulations and policies of renewable energy
Optimization And Decision Making In The Renewable Energy Industry
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Author : Figen Balo
language : en
Publisher:
Release Date : 2022
Optimization And Decision Making In The Renewable Energy Industry written by Figen Balo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Energy industries categories.
Explores various antenna design concepts to meet the NB-IoT requirements and to integrate with small IoT devices. The book also covers antenna test and measurement techniques and case studies to understand the real time applications of antenna in NB-IoT applications.
Sustainable Developments By Artificial Intelligence And Machine Learning For Renewable Energies
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Author : Krishna Kumar
language : en
Publisher: Academic Press
Release Date : 2022-03-18
Sustainable Developments By Artificial Intelligence And Machine Learning For Renewable Energies written by Krishna Kumar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-18 with Science categories.
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications
Advances In Electrical Systems And Innovative Renewable Energy Techniques
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Author : Mohamed Bendaoud
language : en
Publisher: Springer Nature
Release Date :
Advances In Electrical Systems And Innovative Renewable Energy Techniques written by Mohamed Bendaoud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Design Optimization Of Renewable Energy Systems Using Advanced Optimization Algorithms
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Author : Venkata Rao Ravipudi
language : en
Publisher: Springer Nature
Release Date : 2022-03-01
Design Optimization Of Renewable Energy Systems Using Advanced Optimization Algorithms written by Venkata Rao Ravipudi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Technology & Engineering categories.
This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources. In the last few decades, researchers have focused on renewable energy resources like solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy. This has resulted in the development of new techniques and tools that could harvest energy from renewable energy sources. Many researchers and scientists have focused on developing and optimizing the energy systems to extract and utilize renewable energy more efficiently. In this book, recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms are introduced for single- and multi-objective optimization of selected renewable energy systems. The results of applications of the different versions of Jaya and Rao algorithms are compared with the other optimization techniques like GA, NSGA-II, PSO, MOPSO, ABC, etc., and the performance of the Jaya and Rao algorithms is highlighted compared to other optimization algorithms in the case of renewable energy systems. The book also includes the validation of different versions of the Jaya and Rao algorithms through the application to complex single- and multi-objective unconstrained benchmark functions. The algorithms and computer codes of different version of Jaya and Rao algorithms are included in the book that will be very much useful to readers in industry and academic research.
