• Aim & Scope

Aim of the Journal

The aim of Sustainable Energy and AI Technologies is to publish impactful research that integrates artificial intelligence with renewable and sustainable energy technologies. The journal seeks to:

• Advance scientific understanding of how AI can optimize, forecast, and enhance energy systems

• Promote innovation that addresses global energy challenges such as climate change, emission reduction, and energy efficiency

• Support the development of intelligent energy solutions for smart grids, smart cities, and future digital infrastructures

• Encourage interdisciplinary collaboration between energy experts, computer scientists, engineers, and policymakers

  
  

  Scope of the Journal

  SEAIT welcomes high-quality original research, reviews, technical notes, and application-driven studies in the following (but not limited to) areas:

  1. AI Applications in Energy Systems

  • Machine learning and deep learning for energy forecasting

  • AI-enabled optimization of power systems

  • Reinforcement learning for autonomous energy management

  • Intelligent control systems for microgrids and smart grids

  • Predictive maintenance using AI

  2. Renewable & Sustainable Energy Technologies

  • Solar, wind, hydro, biomass, geothermal energy systems

  • Energy harvesting and next-generation clean energy technologies

  • Hybrid renewable energy systems

  • Energy storage technologies and battery health prediction

  3. Smart & Digital Energy Infrastructure

  • Smart meters, IoT-based energy monitoring

  • Digital twins for power plants and renewable systems

  • Edge computing and cloud-based energy management

  • Blockchain and cybersecurity in energy networks

  4. Modelling, Simulation & Optimization

  • AI-driven simulation of energy systems

  • Computational models for carbon reduction and sustainability

  • Multi-objective optimization for energy efficiency

  • Uncertainty modelling in renewable power generation

  5. Environmental & Policy Aspects

  • AI for carbon footprint analysis

  • Sustainable energy policies and planning

  • Life-cycle assessment with AI methodologies

  • Energy economics and AI-supported decision-making

  6. Emerging Technologies

  • Autonomous robotics for renewable energy maintenance

  • AI-enhanced materials for energy devices

  • Quantum computing applications in energy optimization

  • Green AI and low-energy AI technologies

• Author Guidelines

Manuscript Submission & Author Guidelines

Sustainable Energy and AI Technologies

1. Scope of the Journal

Sustainable Energy and AI Technologies publishes high-quality original research and review articles that advance the integration of sustainable energy systems and artificial intelligence technologies. The journal serves as an interdisciplinary platform for researchers, engineers, policymakers, and industry professionals.

2. Types of Manuscripts Accepted

The journal accepts the following categories:

·         Original Research Articles

·         Review Articles

·         Short Communications

·         Case Studies

·         Technical Notes

·         Perspective and Opinion Papers

3. Manuscript Preparation Guidelines

3.1 Language

·         Manuscripts must be written in clear and concise English (British or American English accepted, but consistency is required).

3.2 Manuscript Structure

A typical manuscript should include:

1.      Title Page

2.      Abstract (150–250 words)

3.      Keywords (4–6 keywords)

4.      Introduction

5.      Materials and Methods / Methodology

6.      Results and Discussion

7.      Conclusions

8.      Acknowledgements (if applicable)

9.      Funding Statement

10.  Conflict of Interest Statement

11.  References

4. Formatting Requirements

·         File format: DOC or DOCX

·         Font: Times New Roman

·         Font size: 12 pt

·         Line spacing: 1.5

·         Margins: 1 inch on all sides

·         Page numbers: Bottom-center or bottom-right

5. Abstract and Keywords

·         The abstract should briefly summarize the objective, methodology, key results, and conclusions.

·         Keywords should reflect the main themes of the manuscript and help in indexing.

6. Figures and Tables

·         Figures and tables must be cited in the text and numbered sequentially.

·         Provide clear captions below figures and above tables.

·         Images must be high resolution (minimum 300 dpi).

·         Tables should be editable, not embedded as images.

7. References

·         References should be formatted consistently using APA.

·         All references cited in the text must appear in the reference list and vice versa.

8. Ethical Standards

·         Submitted manuscripts must adhere to publication ethics.

·         Any form of plagiarism, data fabrication, or duplicate submission is strictly prohibited.

·         Authors must obtain necessary permissions for copyrighted materials.

9. Peer Review Process

·         All submissions undergo a double-blind peer review process.

·         Manuscripts are reviewed by at least two independent experts.

·         The editorial decision may be: Accept, Minor Revision, Major Revision, or Reject.

10. Article Processing Charges (APC)

·         Sustainable Energy and AI Technologies operates on an open-access publishing model.

·         Applicable Article Processing Charges (APC), if any, will be communicated to the authors after editorial assessment.

11. Copyright and Open Access

·         Authors retain copyright of their work.

·         Published articles are distributed under an open-access license, allowing unrestricted use with proper citation.

• Editorial Board

Professor

Jose M. Merigo Lindahl

School of Computer Science Faculty of Engineering and Information Technology

University of Technology Sydney

Australia

Editor-in-Chief

Professor

DR. (ErWONGic) Yew Kee

Vice-President, Department of Computer Science Hong Kong Chu Hai College,

China

Professor

Atac Bascetin

Faculty of Mines, Department of Mining Eng.

Istanbul Technical University

Türkiye

Doctor

Ranjan Hebbar

Advanced Micro Devices, Inc., 7171 Southwest Pkwy,

Austin, TX 78735

USA

• PPT

• Videos

• Indexing