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Artificial Intelligence For Renewable Energy And Climate Change


Artificial Intelligence For Renewable Energy And Climate Change
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Artificial Intelligence For Renewable Energy And Climate Change


Artificial Intelligence For Renewable Energy And Climate Change
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Author : Pandian Vasant
language : en
Publisher: John Wiley & Sons
Release Date : 2022-08-23

Artificial Intelligence For Renewable Energy And Climate Change written by Pandian Vasant 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 2022-08-23 with Computers categories.


ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY AND CLIMATE CHANGE Written and edited by a global team of experts in the field, this groundbreaking new volume presents the concepts and fundamentals of using artificial intelligence in renewable energy and climate change, while also covering the practical applications that can be utilized across multiple disciplines and industries, for the engineer, the student, and other professionals and scientists. Renewable energy and climate change are two of the most important and difficult issues facing the world today. The state of the art in these areas is changing rapidly, with new techniques and theories coming online seemingly every day. It is important for scientists, engineers, and other professionals working in these areas to stay abreast of developments, advances, and practical applications, and this volume is an outstanding reference and tool for this purpose. The paradigm in renewable energy and climate change shifts constantly. In today’s international and competitive environment, lean and green practices are important determinants to increase performance. Corresponding production philosophies and techniques help companies diminish lead times and costs of manufacturing, improve delivery on time and quality, and at the same time become more ecological by reducing material use and waste, and by recycling and reusing. Those lean and green activities enhance productivity, lower carbon footprint and improve consumer satisfaction, which in reverse makes firms competitive and sustainable. This practical, new groundbreaking volume: Features coverage on a wide range of topics such as classical and nature-inspired optimization and optimal control, hybrid and stochastic systems Is ideally designed for engineers, scientists, industrialist, academicians, researchers, computer and information technologists, sustainable developers, managers, environmentalists, government leaders, research officers, policy makers, business leaders and students Is useful as a practical tool for practitioners in the fields of sustainable and renewable energy sustainability Includes wide coverage of how artificial intelligence can be used to impact the struggle against global warming and climate change



Introduction To Artificial Intelligence In Renewable Energy And Climate Change


Introduction To Artificial Intelligence In Renewable Energy And Climate Change
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Author : Pandian Vasant
language : en
Publisher: Wiley-Scrivener
Release Date : 2022-04-05

Introduction To Artificial Intelligence In Renewable Energy And Climate Change written by Pandian Vasant and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Science categories.




Artificial Intelligence For Renewable Energy And Climate Change


Artificial Intelligence For Renewable Energy And Climate Change
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Author : Pandian Vasant
language : en
Publisher: John Wiley & Sons
Release Date : 2022-07-21

Artificial Intelligence For Renewable Energy And Climate Change written by Pandian Vasant 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 2022-07-21 with Computers categories.


ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY AND CLIMATE CHANGE Written and edited by a global team of experts in the field, this groundbreaking new volume presents the concepts and fundamentals of using artificial intelligence in renewable energy and climate change, while also covering the practical applications that can be utilized across multiple disciplines and industries, for the engineer, the student, and other professionals and scientists. Renewable energy and climate change are two of the most important and difficult issues facing the world today. The state of the art in these areas is changing rapidly, with new techniques and theories coming online seemingly every day. It is important for scientists, engineers, and other professionals working in these areas to stay abreast of developments, advances, and practical applications, and this volume is an outstanding reference and tool for this purpose. The paradigm in renewable energy and climate change shifts constantly. In today’s international and competitive environment, lean and green practices are important determinants to increase performance. Corresponding production philosophies and techniques help companies diminish lead times and costs of manufacturing, improve delivery on time and quality, and at the same time become more ecological by reducing material use and waste, and by recycling and reusing. Those lean and green activities enhance productivity, lower carbon footprint and improve consumer satisfaction, which in reverse makes firms competitive and sustainable. This practical, new groundbreaking volume: Features coverage on a wide range of topics such as classical and nature-inspired optimization and optimal control, hybrid and stochastic systems Is ideally designed for engineers, scientists, industrialist, academicians, researchers, computer and information technologists, sustainable developers, managers, environmentalists, government leaders, research officers, policy makers, business leaders and students Is useful as a practical tool for practitioners in the fields of sustainable and renewable energy sustainability Includes wide coverage of how artificial intelligence can be used to impact the struggle against global warming and climate change



Applications Of Ai And Iot In Renewable Energy


Applications Of Ai And Iot In Renewable Energy
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Author : Rabindra Nath Shaw
language : en
Publisher: Elsevier
Release Date : 2022-02-14

Applications Of Ai And Iot In Renewable Energy written by Rabindra Nath Shaw and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Science categories.


Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data



Renewable Energy For Smart And Sustainable Cities


Renewable Energy For Smart And Sustainable Cities
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Author : Mustapha Hatti
language : en
Publisher: Springer
Release Date : 2018-11-23

Renewable Energy For Smart And Sustainable Cities written by Mustapha Hatti and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Technology & Engineering categories.


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 and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.



Artificial Intelligence In Energy And Renewable Energy Systems


Artificial Intelligence In Energy And Renewable Energy Systems
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Author : Soteris Kalogirou
language : en
Publisher:
Release Date : 2014-08-29

Artificial Intelligence In Energy And Renewable Energy Systems written by Soteris Kalogirou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-29 with TECHNOLOGY & ENGINEERING categories.


Presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. This title covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration.



Artificial Intelligence For Renewable Energy Systems


Artificial Intelligence For Renewable Energy Systems
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Author : Ajay Kumar Vyas
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02

Artificial Intelligence For Renewable Energy Systems written by Ajay Kumar Vyas 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 2022-03-02 with Computers categories.


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 instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.



Artificial Intelligence For Renewable Energy Systems


Artificial Intelligence For Renewable Energy Systems
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Author : Ashutosh Kumar Dubey
language : en
Publisher: Woodhead Publishing
Release Date : 2022-08-01

Artificial Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Science categories.


Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. - Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems - Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies - Covers computational capabilities and varieties for renewable system design



Artificial Intelligence And Climate Change Using Ai To Support Renewable Energy Reduce Emissions Manage Water Enhance Food Systems Improve Disaster Response And Drive Adaptation


Artificial Intelligence And Climate Change Using Ai To Support Renewable Energy Reduce Emissions Manage Water Enhance Food Systems Improve Disaster Response And Drive Adaptation
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Author : Robert C. Brears
language : en
Publisher: Global Climate Solutions
Release Date :

Artificial Intelligence And Climate Change Using Ai To Support Renewable Energy Reduce Emissions Manage Water Enhance Food Systems Improve Disaster Response And Drive Adaptation written by Robert C. Brears and has been published by Global Climate Solutions this book supported file pdf, txt, epub, kindle and other format this book has been release on with Science categories.


Artificial Intelligence and Climate Change explores how AI technologies are transforming climate change mitigation and adaptation across key sectors. Addressing urgent sustainability challenges — from emissions reduction and renewable energy integration to water management and food system resilience — this book explains how AI supports data-driven, scalable, and efficient climate solutions. • Understand how artificial intelligence accelerates renewable energy deployment and supports low-carbon energy systems • Explore the role of AI in reducing emissions from energy, industry, and infrastructure through predictive analytics and optimization • Gain insight into how machine learning and data analytics enhance water management and climate adaptation strategies • Learn how AI-driven tools improve disaster response systems and early warning capabilities for climate-related risks • See how artificial intelligence contributes to sustainable agriculture and food system resilience under changing climate conditions • Familiarize yourself with AI-enabled approaches to monitor water quality, manage ecosystem health, and safeguard biodiversity • Discover how AI models support climate risk assessment and scenario planning in the face of uncertainty • Understand the ethical, governance, and equity issues surrounding the use of AI in climate change policy and practice This essential guide bridges artificial intelligence and climate change by providing professionals with practical knowledge on how AI enables renewable energy, emissions reduction, and water management. It equips readers with insights to navigate the intersection of technology and sustainability and supports informed decision-making for climate action.



Advances In Artificial Intelligence For Renewable Energy Systems And Energy Autonomy


Advances In Artificial Intelligence For Renewable Energy Systems And Energy Autonomy
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Author : Mukhdeep Singh Manshahia
language : en
Publisher: Springer Nature
Release Date : 2023-06-14

Advances In Artificial Intelligence For Renewable Energy Systems And Energy Autonomy written by Mukhdeep Singh Manshahia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Technology & Engineering categories.


This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.