Call for Contributions

(AI in Energy book project)

Academics, policymakers, scholars, researchers, experts and practitioners focusing on applications of AI in energy and economics are invited to submit their contributions. 

Dear Colleagues,

We kindly invite research proposals to our forthcoming editorial book project entitled “AI-Driven Decision-Making in Energy”.

The book intends to present a clear, timely, and technically sound plan for applying AI to enhance financial decision-making and AI-powered decision-making in areas such as risk assessment, security, regulation, fraud detection, energy markets and other energy topics.  

Digital transformation and artificial intelligence (AI) are revolutionizing the energy sector, reshaping how markets or institutions run, businesses operate and how decisions are made. At the core of this transformation is the integration of advanced technologies into traditional processes, allowing for greater efficiency and enhanced data analysis. 

Businesses and institutions leverage AI algorithms to process vast amounts of data in real-time, enabling them to make informed decisions, manage risks better, and optimize operations. These technological advancements not only improve transaction speeds but also enhance customer experiences through personalized services, predictive analytics, and automation of routine tasks. 

This book explores the deep impact of AI and digital transformation on energy markets, its practice and decision intelligence processes. The book and its deep practical case studies present further insights regarding ways to effectively utilize AI’s potential, likely even beyond the existing theoretical and practical knowledge. More specifically on perceived risk and potential solutions in AI-driven decision-making in energy sector!

Our book aims to connect theoretical concepts with practical real-world applications and to provide solutions for strategic issues in AI and energy while using novel techniques in the competitive environments of the global business, energy and economic system. 

Suggested Topics (though not limited to)

The main sections of the book are emphasized below:  

• Part I: Foundations (Intro, AI Overview) 

• Part II: Applications (AI and energy markets) 

• Part III: Risks and Challenges (Security, Ethics, Risks, Regulations and Challenges) 

• Part IV: The Road Ahead (Trends, Policy, Future Opportunities) 

The following topics shall form the core structure: 

• AI in Energy and Economics: AI-powered decision-making and applications in energy, 

  • • Financial technologies,

    • Sustainable digital transformation,

    • Energy efficiency,

    • Digital governance,

    • AI in public policies,

    • Digital energy and AI,

    • Payment Services

    • Payment Gateways & Orchestration

    • Green Finance in energy sector,

    • Industry 4.0, Industry 5.0 and Industry 6.0

    • Sustainable digital transformation 

• Security, Risks and Challenges: Security issues, risks and challenges associated with AI adoption in energy sector and decision-making processes

  • • Disruptions to the Markets, Production or Work,

    • Systemic risk

    • Efficiency

    • Trust 

    • Fairness

    • Privacy

    • Security

    • Changing mindset

    • AI at a crossroad – opportunities, risks, and the path forward,

• Ethical implications of AI: AI ethics and bias mitigation could help further promote responsible and fair AI. Ethical considerations include: 

  • • AI and ethics

    • Ethical and regulatory issues

    • Ethical AI and responsible AI

    • Potential ethical dilemmas posed by AI

    • Responsible innovation and ethical accountability 

• Regulatory issues: Regulations surrounding artificial intelligence applications in energy

  • • AI governance

    • AI regulations in energy and economics

    • Regulatory frameworks

    • Data protection laws 

    • Anti-money laundering measures

    • Fraud detection

    • Technology and regulation interaction

    • Elaborating on the role of regulation in AI and digitalization,

• A future-focused concluding chapter: Discussing emerging trends, potential future applications of AI in energy, 

  • • Potential future applications,

    • Future Trends and Strategic Implications

    • Building Resilient, AI-Ready Organizations

    • What’s Next: A Practical Guide for Leaders

This list of topics above covers a range of topics within AI applied to energy. The content is of course not limited to the list. Yet, the topics all highlight generative AI, emerging regulations, and evolving global dynamics that could leave readers with actionable takeaways and a forward-looking perspective. And all of them central to AI adoption and its applications in energy sector. 

A kind reminder that we’re especially keen to receive chapters focusing on and aim to position the book on risks, regulatory/compliance issues, and potential solutions.

The book also welcomes “AI in Action” case studies or more detailed real-world case studies. In-depth analyses of successful and unsuccessful AI implementations in various energy market related contexts.

Submit Your Proposals

Important days of this project are detailed below.

• Proposal Submission Deadline (abstract): December 31, 2025

• Notification of Acceptance: January 10, 2026

• Full Chapters Submissions: February 10, 2026

• Workshop Date: February 28, 2026

• Revisions / Review Results: March 30, 2026

• Final Submissions: May 30, 2026

• Anticipated Publication Date: Fall 2026

Please provide the following points in your proposals/abstracts:

·      Title of the contribution

·      Name of author, co-authors, institution, email-address

·      Content of the proposed chapter

·      How the contribution fits into the book

All manuscripts must:

·      be original and not under review elsewhere.

·      be submitted in Microsoft® Word format.

·      be typewritten in English (Proofreading is required for international scholars but native speakers)

·      be written in objective third person point of view throughout (Use "the authors" or "the researchers" NOT "I" or "we")

·      have up to 7,000 words (up to 30 pages) with Times New Roman-12 punto

·      have references with APA formatting

·      include at maximum 2-3 tables and 1-2 graphs

Reviewing Criteria: Submissions will be reviewed by the workshop organizers, a group of referees and selected based on the relevance and potential impact of AI applications in finance. 

This is an English textbook and the most of our authors will not be native speakers. Therefore, publisher kindly demands a proofreading document from authors in addition to individual contract of copyright transfer. 

The authors are responsible for timely delivery and any kind of obligatory contradictions from their contributions or materials provided in this project. 

No submission or publication fee is required for the authors. 

Please do not hesitate to get in touch, if you have any questions. 

We look forward to working with the distinguished scholars, researchers, experts, practitioners and academics focusing on these topics. 

An example chapter layout link

For inquiries: 

Bilal Bağış, Assoc. Prof.

bbagis@fsm.edu.tr

PERPAL Lab, Department of Economics

FEAS, FSMVU

Publisher: CRC Press: Taylor & Francis Group

A leading publisher of scientific and technology books.

Back to the Workshop (AI in Energy and Economics 2026)