Integrating Artificial Intelligence Into The Energy Sector
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Integrating Artificial Intelligence Into The Energy Sector
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Integrating Artificial Intelligence Into The Energy Sector written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.
Integrating Artificial Intelligence Into The Energy Sector
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Author : Abdelkader Mohamed Sghaier Derbali
language : en
Publisher:
Release Date : 2025
Integrating Artificial Intelligence Into The Energy Sector written by Abdelkader Mohamed Sghaier Derbali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Prospects Of Artificial Intelligence In The Environment
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Author : Ajitanshu Vedrtnam
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Prospects Of Artificial Intelligence In The Environment written by Ajitanshu Vedrtnam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened.
Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher: CRC Press
Release Date : 2024-12-18
Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Artificial Intelligence
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Author : Arthur G.O. Mutambara
language : en
Publisher: CRC Press
Release Date : 2025-04-09
Artificial Intelligence written by Arthur G.O. Mutambara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks. Features: Broad non-AI interventions and prescriptions to address Global South challenges A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1 An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain How to prepare emerging economies to unlock the benefits of AI while mitigating the risks Discussion of specific AI applications in 11 critical Global South sectors Details of 11 sector case studies of AI adoption in the Global South and Global North Ten country case studies: Sharing emergent AI experiences in the Global South AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix A framework for democratising and decolonising AI The value proposition for AI research, development, and ownership in the Global South A case for the participation of the Global South in the AI semiconductor industry This book is aimed at policymakers, business leaders, graduate students, academics, researchers, strategic thinkers, and world leaders seeking to understand and leverage the transformative role of AI-based systems in achieving inclusive development, economic transformation, and shared prosperity.
Rethinking The Pedagogy Of Sustainable Development In The Ai Era
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Author : Chinedu, Caleb Chiidozie
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Rethinking The Pedagogy Of Sustainable Development In The Ai Era written by Chinedu, Caleb Chiidozie and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Education categories.
Artificial intelligence (AI) technologies can transform the teaching and learning of sustainable development. AI-driven innovative approaches can transform traditional educational practices and encourage experimentation with and development of novel strategies that harness AI's capabilities to enhance sustainability education. By incorporating practical strategies for integrating AI into sustainability education across various contexts, teachers may foster a new generation of learners equipped to contribute to a sustainable future. Additionally, the use of AI allows teachers to foster a culture of continuous improvement and creativity. Rethinking the Pedagogy of Sustainable Development in the AI Era explores the transformative potential of artificial intelligence (AI) in the context of sustainable development education. It examines how AI technologies can be leveraged to enhance the pedagogy of sustainability, offering new methods, tools, and approaches to empower learners with the necessary skills and knowledge to address global sustainability challenges. Covering topics such as circularity, power systems, and vocational pedagogy, this book is an excellent resource for educators, curriculum developers, administrators, policymakers, sustainability practitioners, professionals, researchers, scholars, academicians, and more.
Machine Learning Technologies On Energy Economics And Finance
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Author : Mohammad Zoynul Abedin
language : en
Publisher: Springer Nature
Release Date : 2025-09-07
Machine Learning Technologies On Energy Economics And Finance written by Mohammad Zoynul Abedin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-07 with Business & Economics categories.
This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector. It examines key factors shaping this field, including market structures, regulatory frameworks, environmental impacts, and the dynamics of the global energy market. It discusses the critical application of machine learning (ML) in energy financing, introducing predictive tools for forecasting energy prices across various sectors—such as crude oil, electricity, fuelwood, solar, and natural gas. It also addresses how ML can predict investor behavior and assess the efficiency of energy markets, with a focus on both the opportunities and challenges in renewable energy and energy finance. This book serves as a comprehensive guide for academics, practitioners, financial managers, stakeholders, government officials, and policymakers who seek strategies to enhance energy systems, reduce costs and uncertainties, and optimize revenue for economic growth. This is the second volume of a two-volume set.
Modern Computing Technologies For Ev Efficiency And Sustainable Energy Integration
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Author : Fotis, George
language : en
Publisher: IGI Global
Release Date : 2025-05-30
Modern Computing Technologies For Ev Efficiency And Sustainable Energy Integration written by Fotis, George and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Technology & Engineering categories.
The market for electric vehicles (EVs) and sustainable energy solutions is experiencing exponential growth, driven by increasing environmental concerns and the need for sustainable alternatives to traditional transportation and energy sources. From intelligent energy management systems to autonomous driving algorithms, modern computing technology is shaping the future of transportation and energy. Therefore, modern computing can drive industrial growth and foster sustainable infrastructure that supports both economic development and environmental sustainability. The efficient use of computing technologies to minimize energy waste, optimize EV charging, and promote renewable energy integration offers a clear path to mitigating climate change. Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration explores the intersection of cutting-edge computing technology and the rapidly evolving fields of EVs and renewable energy. It delves into how advancements in computing are driving innovation in these sectors, shaping the future of transportation and energy sustainability. Covering topics such as interoperability, control strategies, and hybrid energy management, this book is an excellent resource for engineers, technologists, environmentalists, sustainability experts, policymakers, professionals, researchers, scholars, academicians, and more.
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems
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Author : Neelu Nagpal
language : en
Publisher: CRC Press
Release Date : 2023-11-23
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems written by Neelu Nagpal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Computers categories.
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.
Achieving Sustainability In Multi Industry Settings With Ai
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Author : Syafrudin, Muhammad
language : en
Publisher: IGI Global
Release Date : 2025-04-02
Achieving Sustainability In Multi Industry Settings With Ai written by Syafrudin, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with Business & Economics categories.
Harnessing artificial intelligence (AI) for sustainability offers transformative opportunities to address critical environmental, economic, and social challenges. By fostering interdisciplinary collaboration across fields like computer science, environmental science, and urban planning, AI enables innovative solutions that drive progress in areas such as energy efficiency, sustainable agriculture, and urban development. This cross-pollination of ideas not only accelerates advancements but also ensures a holistic approach to tackling complex global issues. Leveraging AI in these domains has the potential to create a more sustainable and equitable future for society. Achieving Sustainability in Multi-Industry Settings With AI explores how AI can be applied across diverse industries to drive sustainable solutions and address environmental, economic, and social challenges. By showcasing innovative applications, case studies, and strategies, it highlights the transformative potential of AI in promoting sustainability across sectors. Covering topics such as consumer protection, energy distribution, and smart cities, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.