Energy Science

AAP Advances in Green Technologies for Sustainable Energy Solutions

Enhancing Energy and Environmental Sustainability Using Intelligent Technologies
Editors: Dr. Sunil K. Sansaniwal,
Dr. Preeti Singh Bahadur
Dr. Sitesh Kumar Singh

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Enhancing Energy and Environmental Sustainability Using Intelligent Technologies

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Series: AAP Advances in Green Technologies for Sustainable Energy Solutions

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Short description about the volume:


In the face of escalating environmental crises and the pressing need for sustainable development, the book titled Enhancing Energy and Environmental Sustainability Using Intelligent Technologies will delve into the transformative potential of artificial intelligence (AI) as a cornerstone for achieving a more sustainable future.

This book will explore how AI technologies are not only revolutionizing traditional approaches but also pioneering innovative solutions to some of the most pressing environmental challenges of our time. From optimizing energy consumption and advancing renewable energy systems to enhancing waste management and refining climate modeling, AI offers unprecedented opportunities for improving efficiency, reducing environmental impact, and driving sustainable practices across diverse sectors. By integrating comprehensive research, real-world applications and cutting-edge developments, this volume will provide a thorough examination of how AI can be harnessed to address complex sustainability issues.

Through detailed case studies and forward-looking perspectives, this book aims to illuminate the pathways through which AI can facilitate transformative change, enabling a more resilient and eco-friendly world. As we confront the dual challenges of climate change and resource depletion, this book will stands as a crucial resource for understanding and leveraging AI’s potential to foster a sustainable and thriving global environment.

Building on fundamental concepts, this book will explore cutting-edge energy storage technologies, including solid-state batteries, supercapacitors, phase-change materials (PCMs), and hydrogen-based storage systems, highlighting their role in mitigating energy intermittency and enhancing grid reliability. It will examine the potential of hybrid energy systems, smart microgrids, and net-zero energy buildings (NZEBs) as future-ready solutions for decentralized power management.

Additionally, the book will investigate blockchain-based energy trading models that enable peer-to-peer (P2P) energy exchange and decentralized grid interactions. Through an interdisciplinary approach, it plans to bridge the gap between engineering principles, policy frameworks, and sustainable building design, ensuring a holistic understanding of renewable energy integration.

Key challenges such as cybersecurity in energy management, economic feasibility, and regulatory policies are also being addressed, supported by global case studies showcasing successful implementations. By combining theoretical insights with practical applications, this volume will serve as a definitive reference for researchers, engineers, urban planners, and policymakers committed to shaping resilient, self-sufficient, and intelligent energy ecosystems for the smart cities of the future.

Coverage
To create an authoritative and comprehensive volume, we invite scholars, researchers, and industry professionals to contribute original research and perspectives. While the following topics are the primary focus, we encourage submissions that explore additional areas within this evolving field.

1. Introduction on Recent trends on Intelligent Technologies

• Foundations of Intelligent Technologies
• Future directions and Opportunities

2. AI in Environmental Sustainability

• Overview of AI’s Role in Sustainable Development
• The Need for Innovative Environmental Solutions

3. Energy Efficiency and Optimization

• AI-Driven Energy Consumption Management
• Enhancing Smart Grid Technologies
• Case Studies: AI Applications in Reducing Energy Waste

4. Advancements in Renewable Energy Systems

• AI in Solar and Wind Energy Optimization
• Predictive Analytics for Renewable Energy Production
• Integrating AI with Renewable Energy Grids

5. Waste Management Solutions

• AI in Waste Sorting and Recycling Processes
• Optimizing Waste-to-Energy Conversion through AI
• Case Studies: AI-Driven Circular Economy Models

6. Climate Modeling and Predictive Analytics

• AI in Climate Data Analysis and Forecasting
• Enhancing Climate Change Mitigation Strategies
• AI for Predicting and Managing Natural Disasters

7. Sustainable Agriculture

• AI in Precision Farming and Resource Management
• Reducing Environmental Impact through AI-Driven Agriculture
• Case Studies: AI Applications in Sustainable Crop Production

8. Sustainable Urban Development

• Smart Cities and AI for Urban Sustainability
• Optimizing Transportation and Infrastructure with AI
• Reducing Urban Carbon Footprint through AI Technologies

9. Water Resource Management

• AI for Water Quality Monitoring and Purification
• Sustainable Water Distribution Systems Using AI
• Case Studies: AI Applications in Global Water Management

10. Environmental Monitoring and Protection

• Real-Time Environmental Data Collection with AI
• AI in Biodiversity Conservation and Wildlife Protection
• Case Studies: AI Applications in Ecosystem Preservation

11. Ethical Considerations and Challenges in Sustainability

• Addressing Bias and Fairness in AI-Driven Environmental Solutions
• Balancing Innovation and Environmental Protection
• The Future of AI in Global Sustainability Efforts

12. Global Perspectives on AI for Sustainability

• Contributions from Different Regions: Case Studies
• Collaborative International Efforts in AI and Sustainability
• Lessons Learned and Future Directions

13. Conclusion and Future Outlook

• The Potential of AI in Shaping a Sustainable Future
• Roadmap for Integrating AI into Global Sustainability Strategies
• Final Thoughts on AI’s Role in Environmental Stewardship


Important Dates:
Initial Proposal / Abstract Submission (400 – 600 words)
Deadline: September 15th, 2025
Notification of Acceptance: October 31st , 2025
Full Chapter (4,000 – 7,000 words) Submission Due: On or before February 2nd , 2026

Submission procedure:

We invite researchers and practitioners to contribute original chapters to this book. Prospective authors should submit a one-page proposal or abstract outlining the chapter’s content, objectives, and methodology by September 15th, 2025. The proposal must include the chapter title and author details. Notifications of acceptance will be sent by October 31st, 2025. Accepted authors will be required to submit full chapters (15–20 pages) by February 2nd, 2026. All submissions will undergo a rigorous peer-review process.

To submit your proposal or full-length chapter, please send a Word document attachment to editors:

Editors: Dr. Sunil K. Sansaniwal (sansaniwal@gmail.com)
Dr. Preeti Singh Bahadur (drpreetisinghbahadur@gmail.com)
Dr. Sitesh Kumar Singh (siteshsingh@nu.edu.om)

Authors must refer to the following link for detailed guidelines for chapter preparation: http://www.appleacademicpress.com/publishwithus

Note: Authors submitting manuscripts to this book do not incur any publication fees. To ensure the originality and quality of the content, all submissions must be previously unpublished and not under consideration for publication in any other venue.


About the Authors / Editors:
Editors: Dr. Sunil K. Sansaniwal,
Consultant, Energy, Green Transition and Climate Change Division, NITI Aayog, Government of India, New Delhi
Email: sansaniwal@gmail.com


Dr. Preeti Singh Bahadur
Associate Professor,Amity University, Greater Noida, Uttar Pradesh, India
drpreetisinghbahadur@gmail.com


Dr. Sitesh Kumar Singh
Assistant Professor, School of Civil and Environmental Engineering, National University of Science and Technology, Muscat, Oman
siteshsingh@nu.edu.om





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