Call for Chapters: AI Applications for Clean Energy and Sustainability

Editors

Budi Riswandi, Universitas Islam Indonesia, Indonesia
Bhupinder Singh, Sharda University, India, India
Christian Kaunert, University of South Wales, United Kingdom & Dublin City University, Ireland, United Kingdom
Komal Vig, Sharda University, India, India

Call for Chapters

Proposals Submission Deadline: May 26, 2024
Full Chapters Due: July 28, 2024
Submission Date: July 28, 2024

Introduction

The intersection of Clean Energy and Artificial Intelligence has become a crucial area with immense transformative possibilities. Artificial Intelligence, known for its transformative capabilities, holds the potential to greatly improve efficiency within the energy sector. Machine Learning algorithms contribute to the development of sophisticated ocean precision models, aiming to accurately predict the impact of climate change and environments. This book “AI Applications for Clean Energy and Sustainability” illuminates the critical interplay between artificial intelligence (AI) technology and the pressing need for clean energy production and environmental sustainability. It focusing on the serious challenges posed by climate change and the rising global demand for clean energy solutions. In this context, this book underscores the overarching aim of the book to explore how AI can be utilized to catalyze innovation in the clean energy sector and advance sustainability goals. With a comprehensive perspective, the book explores various AI techniques such as machine learning, data analytics and optimization algorithms, which elucidate their roles in different aspects of clean energy and sustainability. From optimizing renewable energy infrastructure to enhancing energy efficiency in buildings and transportation, AI provides innovative solutions to address significant environmental challenges. The book bridges the gap between theory and practice by showcasing studies and practical examples from the real world, illustrating the interplay between theory and practice and demonstrating AI’s transformative impact on sustainable development. It serves as a valuable resource for researchers, policymakers, industry professionals and students, facilitating a profound understanding of AI’s capability to reshape the future of clean energy production and environmental management. Overall, the book provides a comprehensive exploration of the intersection between AI and sustainability, inspiring collaboration and innovation towards a greener and more resilient world.

Objective

The book on "AI Applications for Clean Energy and Sustainability" is to explore the interconnection between artificial intelligence (AI) technology and its potential applications in advancing clean energy production, promoting environmental sustainability, and addressing the challenges of climate change. With increasing global emphasis on transitioning to renewable energy sources and mitigating the impacts of climate change, AI offers innovative solutions to enhance the efficiency, reliability, and scalability of clean energy systems while reducing their environmental footprint. The aim of this comprehensive section is to provide a deep understanding of how AI techniques such as machine learning, data analytics, optimization algorithms, and predictive modeling can be utilized across various domains within the realms of clean energy and sustainability. From optimizing the performance of renewable energy infrastructure such as solar and wind farms to enhancing energy efficiency in buildings and transportation, AI holds immense potential to revolutionize the methods of energy production, distribution, and consumption in sustainable ways, thereby reducing their environmental footprint. The goal is to provide a thorough understanding of how AI can be leveraged to enhance the efficiency, reliability, and scalability of clean energy systems while reducing their environmental impact. Through a combination of theoretical discussions and practical examples, the book aims to showcase the transformative potential of AI in addressing key challenges related to clean energy production, environmental sustainability, and climate change mitigation. By elucidating the ways in which AI technologies can be applied in diverse domains within the clean energy and sustainability sectors, the book seeks to inspire collaboration, innovation, and action towards building a more sustainable future for generations to come.

Target Audience

The audience for the book "AI Applications for Clean Energy and Sustainability" includes a diverse range of stakeholders interested in the combination of artificial intelligence (AI) technology with clean energy production and environmental sustainability. This encompasses researchers, educators and students in the fields of AI, renewable energy, environmental science and sustainability studies, who aim to deepen their understanding of how AI can revolutionize the clean energy sector. Also, policymakers, government officials and industry professionals involved in energy policy, technology development, and environmental management will find value in exploring the potential applications of AI in advancing sustainability goals and addressing climate change challenges.

Recommended Topics

1. Exploring Sustainability Through Clean Energy, Artificial Intelligence, and Machine Learning: Ethical Perspectives 2. Utilizing Artificial Intelligence for Management of Blue Energy Resources 3. Blue Energy: Paving the Way for Sustainable Transportation Technologies 4. Methods of Hydrogen Storage in Blue Energy Systems 5. Exploring New Frontiers: Futuristic Approaches to Blue Energy 6. Governance and Policy Strategies for Sustainable Blue Energy Practices 7. Leveraging Technological Advancements for Enhanced Efficiency in the Energy Sector: AI, ML, DL, and Federated Learning 8. Assessing Energy Security Risks: An Index Approach 9. Clean Energy Solutions: Technologies for Hydrogen Storage and Transport 10. Implementing Digital Twins for Energy Infrastructure Management 11. Bridging Human-Machine Interaction in Osmotic Energy Systems 12. Harnessing Salinity Gradient Energy for Sustainable Power Generation 13. Utilizing Artificial Intelligence for Monitoring Marine Ecosystems 14. The Contributions of ML & DL to Ocean Precision Modeling and Climate Forecasts 15. Aligning Energy Policies with Environmental Development Goals: Perspectives on Sustainable Development Goals (SDGs)

Submission Procedure

Researchers and practitioners are invited to submit on or before May 26, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 9, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by July 28, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI Applications for Clean Energy and Sustainability. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 26, 2024: Proposal Submission Deadline
June 9, 2024: Notification of Acceptance
July 28, 2024: Full Chapter Submission
September 1, 2024: Review Results Returned
September 29, 2024: Final Acceptance Notification
October 6, 2024: Final Chapter Submission



Inquiries

Budi Riswandi Universitas Islam Indonesia budiagusr@uii.ac.id Bhupinder Singh Sharda University, India bhupindersinghlaw19@gmail.com Christian Kaunert University of South Wales, United Kingdom & Dublin City University, Ireland christian.kaunert@southwales.ac.uk Komal Vig Sharda University, India komal.vig@sharda.ac.in

Classifications


Business and Management; Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Medical, Healthcare, and Life Sciences; Media and Communications; Government and Law; Social Sciences and Humanities; Science and Engineering
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