Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies PDF Download
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Author: Krishna Kumar
Publisher: Academic Press
ISBN: 0323914284
Category : Technology & Engineering
Languages : en
Pages : 418
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Book Description
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
Author: Krishna Kumar
Publisher: Academic Press
ISBN: 0323914284
Category : Technology & Engineering
Languages : en
Pages : 418
Get Book Here
Book Description
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
Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher: Springer Nature
ISBN: 3030934640
Category : Technology & Engineering
Languages : en
Pages : 637
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Book Description
This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.
Author: Sheila Jagannathan
Publisher: Routledge
ISBN: 1000391221
Category : Education
Languages : en
Pages : 352
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Book Description
Reimagining Digital Learning for Sustainable Development is a comprehensive playbook for education leaders, policy makers, and other key stakeholders leading the modernization of learning and development in their institutions as they build a high value knowledge economy and prepare learners for jobs that don't yet exist. Currently, nearly every aspect of human activity, including the ways we absorb and apply learning, is influenced by disruptive digital technologies. The jobs available today are no longer predicators of future employment, and current and future workforce members will need to augment their competencies through a lifetime of continuous upskilling and reskilling to meet the demands of the Fourth Industrial Revolution. This book features curated insights and real-world cases from thought leaders throughout the world and identifies major shifts in content formats, pedagogic approaches, technology frameworks, user and design experiences, and learner roles and expectations that will reshape our institutions, including those in emerging economies. The agile, lean, and cost-effective strategies proposed here will function in scalable and flexible bandwidth environments, enabling education leaders and practitioners to transform brick-and-mortar learning organizations into digital and blended ecosystems and to achieve the United Nation’s ambitious Sustainable Development Goals by 2030. Chapter 18 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3030519201
Category : Technology & Engineering
Languages : en
Pages : 310
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Book Description
This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.
Author: Elena I. Inshakova
Publisher: Springer Nature
ISBN: 981169804X
Category : Technology & Engineering
Languages : en
Pages : 321
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Book Description
The book offers a multidisciplinary investigation into the economic, technological, environmental, and social impacts of Industry 4.0 technology that ensures inclusive and sustainable growth development of regions and countries. Along with identifying new opportunities that new technology provides for inclusive growth, the book aims to propose theoretical substantiation and develop economic, institutional, organizational, and information mechanisms that aid to reduce and eliminate the potential economic, social, and environmental risks. A broad multidisciplinary approach integrating research capabilities of economic and administrative sciences, artificial intelligence and computer sciences, pedagogy and linguistics, latest findings in the above mentioned scientific areas, as well as empirical evidence and pilot innovative research projects conducted by the contributors, allowed them to draw conclusions and develop recommendations for achieving inclusive growth in industrial and agricultural production, innovation and investment activities, management and environment protection, healthcare and education associated with the use of new technology. The contributors hope that empirical materials, innovative developments, and suggestions inspire scientific research, encourage applied studies, and supplement training programs in economic, administrative, social, and computer sciences at the advanced universities and research institutions, in the post-Soviet territory, in particular.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher: Springer Nature
ISBN: 3030730573
Category : Computers
Languages : en
Pages : 472
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Book Description
This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
Author: Steffen Lange
Publisher: Routledge
ISBN: 1000061620
Category : Computers
Languages : en
Pages : 322
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Book Description
In this book, Steffen Lange and Tilman Santarius investigate how digitalization influences environmental and social sustainability. The information revolution is currently changing the daily lives of billions of people worldwide. At the same time, the current economic model and consumerist lifestyle needs to be radically transformed if society is to overcome the challenges humanity is facing on a finite planet. Can the much-discussed disruption potential of digitalization be harnessed for this purpose? Smart Green World? provides guiding principles for a sustainable digital society and develops numerous hands-on proposals for how digitalization can be shaped to become a driving force for social transformation. For instance, the authors explain why more digitalization is needed to realize the transition towards 100% renewable energy and show how this can be achieved without sacrificing privacy. They analyze how the information revolution can transform consumption patterns, mobility habits and industry structures – instead of fostering the consumption of unneeded stuff due to personalized commercials and the acceleration of life. The authors reveal how Artificial Intelligence and the Industrial Internet of Things pose novel environmental challenges and contribute to a polarization of income; but they also demonstrate how the internet can be restored to its status as a commons, with users taking priority and society at large reaping the benefits of technological change in a most democratic way. Providing a comprehensive and practical assessment of both social and environmental opportunities and challenges of digitalization, Smart Green World? Making Digitalization Work for Sustainability will be of great interest to all those studying the complex interrelationship of the twenty-first-century megatrends of digitalization and decarbonization.
Author: Zakaria Boulouard
Publisher: Springer Nature
ISBN: 3030906183
Category : Technology & Engineering
Languages : en
Pages : 638
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Book Description
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
Author: Kamal Kant Hiran
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110702517
Category : Computers
Languages : en
Pages : 214
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Book Description
The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.
