CALL FOR BOOK CHAPTER

Nature-Inspired Optimization Algorithms for Renewable Energy Systems 

We are pleased to invite high-quality original book chapter proposals for the upcoming edited volume to be published by Elsevier titled Nature-Inspired Optimization Algorithms for Renewable Energy Systems

This book aims to bring together cutting-edge research and practical advancements at the intersection of renewable energy systems, computational intelligence, and nature-inspired optimization techniques. With the rapid global transition toward clean energy and Net-Zero goals, there is an urgent need for intelligent optimization frameworks capable of handling uncertainty, intermittency, forecasting, grid stability, EV integration, and energy storage management. This volume will provide a focused, application-driven resource for researchers, engineers, policymakers, and graduate students. 

Indexing* : Scopus 

NOTE : ALL THE SUBMISSION MUST BE ORIGINAL AND NOT SUBMITTED TO ANY CONFERENCE/ JOURNAL

📑 Table of Contents (TOC)

1. Nature-Inspired Intelligence – Foundations and Future Prospects

2. Optimization Trends in Sustainable Energy Systems: Challenges and Opportunities

3. Smart Grids and Metaheuristic-Based Energy Forecasting Models

4. Adaptive Load Dispatch and Fault Detection in Renewable Microgrids

5. Power Electronics Control Using Swarm Intelligence in PV and Wind Systems

6. Nature-Inspired Optimization for Energy Storage and Electric Vehicle Systems

7. Renewable Energy Forecasting with Hybrid Metaheuristics

8. Multi-Objective Optimization in Renewable Energy Systems

9. Nature-Inspired Algorithms for Grid Stability and Control

10. Optimization for Energy-Aware IoT and Cyber-Physical Energy Systems

11. Simulation Platforms and Benchmarking Protocols for Renewable Energy Optimization

12. The Role of Nature-Inspired Algorithms in Industry 5.0 Energy Systems

13. Future Research Directions and Cross-Disciplinary Opportunities
    
    

🎯 Suggested Topics (but not limited to)

• Genetic Algorithms, PSO, ACO, DE, Firefly, Grey Wolf, Bat Algorithms in renewable systems

• Smart grid optimization and stability control

• Renewable energy forecasting using hybrid AI models

• EV charging optimization (G2V/V2G frameworks)

• Microgrid energy management and resilience

• Energy storage optimization and battery health prediction

• AI-driven power electronics control

• Multi-objective renewable energy optimization

• Edge AI and IoT for sustainable energy systems

• Industry 5.0 and intelligent energy infrastructures
  
  

👨‍🏫 Editor(S)

Moolchand Sharma

Assistant Professor, Department of CSE
Maharaja Agrasen Institute of Technology, Delhi, India
Email: moolchand@mait.ac.in
Scopus ID: 57211588581 | h-index: 18

Bhavnesh Kumar

Associate Professor, Electrical Engineering Department
Netaji Subhas University of Technology, New Delhi, India

Tarik Ahmed Rashid

Professor, Department of Computer Science & Engineering
University of Kurdistan Hewlêr (UKH), Iraq
 

Deevyankar Agarwal

Program Director (Computer Engineering)
University of Technology and Applied Sciences, Muscat, Oman

📅 Important Dates

• Abstract Submission Deadline: APRIL 30, 2026

• Full Chapter Submission: JULY 30, 2026

• Final Manuscript Submission: AUGUST 20, 2026

All Chapter Submissions must be made through the Microsoft CMT portal 

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. 

This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.