Call for Chapters: Integrating Artificial Intelligence Into the Energy Sector

Editors

Abdelkader Mohamed Sghaier Derbali, Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia

Call for Chapters

Proposals Submission Deadline: June 26, 2024
Full Chapters Due: October 9, 2024
Submission Date: October 9, 2024

Introduction

Artificial intelligence plays a crucial role in various industrial settings. The energy sector, in particular, stands out as a promising field for the application of AI technology. Essentially, artificial intelligence equips machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. Given the numerous decisions that need to be made in the energy industry, timely responses are imperative, necessitating the handling of substantial amounts of data. Artificial intelligence excels in efficiently executing these critical decisions that demand swift data collection and analysis while ensuring optimal processing speed. Smart grids not only transmit electricity but also data, particularly crucial in managing intermittent and unpredictable energy sources like solar and wind power. Effective balancing of consumption and generation is more vital than ever in such scenarios. The integration of artificial intelligence 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. A fundamental application lies in leveraging machine learning, a pivotal component of artificial intelligence, to enhance the efficiency of power generation systems, refine technological designs, and create energy-conserving devices. The future landscape of transportation is increasingly centered on electric mobility, albeit accompanied by fresh challenges. Artificial intelligence is being incorporated into the realm of electric vehicles, both within the vehicles themselves to manage operations and relay data for tackling these challenges, and externally to streamline the management of reports and deploy intelligent mobility solutions. The energy sector is witnessing the nascent integration of artificial intelligence, already proving to be indispensable in furnishing the industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other commitments that underscore the potential role of AI in the forthcoming era.

Objective

This book will address innovative applications of Artificial Intelligence (AI) and Machine Learning (ML) in the energy sector. Topics relevant for potential publication encompass, but are not restricted to: The application of Data Science in the energy sector; Utilization of AI in the processes of energy transformation and decarbonization; Forecasting methodologies; Implementation of Smart Grids; Identification and mitigation of anomalies and failures in energy predictions; Intelligent approaches to prevent energy theft; Sophisticated control mechanisms for energy systems; Innovative methods for energy generation; Acquisition and utilization of data within the energy sector; Interplay between AI, ML, energy, and society; Utilization of AI and ML in energy-focused research; Utilization of Big Data in the energy domain; Development of materials, devices, and energy systems guided by data insights; Integration of the Internet of Things within the energy industry; Exploration of Virtual Reality applications in the energy sector; Enhancing energy efficiency through AI and ML technologies; Exploration of the human element in energy with AI; Applications of robotics in the energy field; Energy modeling techniques

Target Audience

This book is designed for a diverse audience, including leaders seeking organizational enhancement, mid-level managers focused on team innovation, and human resources professionals fostering a learning culture. It provides valuable insights for learning and development practitioners, individual contributors at all levels, and consultants offering organizational guidance. Additionally, educators, researchers, students, and professionals in dynamic sectors will find practical strategies for continuous learning and achieving organizational excellence. Overall, it serves as a comprehensive resource for those interested in fostering a culture of continuous learning across various roles and contexts.

Recommended Topics

AI and Machine learning Big Data and Renewable energy Smart grids Energy system Energy storage system Energy consumption Smart forecasting Energy commodities

Submission Procedure

Researchers and practitioners are invited to submit on or before June 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 July 10, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 9, 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-anonymized 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, Integrating Artificial Intelligence Into the Energy Sector. All manuscripts are accepted based on a double-anonymized 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

June 26, 2024: Proposal Submission Deadline
July 10, 2024: Notification of Acceptance
October 9, 2024: Full Chapter Submission
December 11, 2024: Review Results Returned
January 22, 2025: Final Acceptance Notification
February 5, 2025: Final Chapter Submission



Inquiries

Abdelkader Mohamed Sghaier Derbali Department of Administrative and Financial Sciences, Applied College, Taibah University Department of Finance and Accounting, Higher Institute of Informatics and Management of Kairouan, Kairouan University, Tunisia aderbali@taibahu.edu.sa

Classifications


Business and Management; Computer Science and Information Technology; Life Sciences
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