Editors: Shilpa Gupta, Ritika Sharma

Series Title: AI and Emerging Technologies for a Sustainable Future - Vol. 2

Technological Applications of AI in the Development of a Sustainable Future

Volume 2

eBook: US $79 Special Offer (PDF + Printed Copy): US $143
Printed Copy: US $103
Library License: US $316
ISBN: 979-8-89881-331-4 (Print)
ISBN: 979-8-89881-330-7 (Online)
Year of Publication: 2026
DOI: 10.2174/97988988133071260201

Introduction

Technological Applications of AI in the Development of a Sustainable Future provides a comprehensive, interdisciplinary perspective on the integration of AI technologies with renewable energy, smart infrastructure, environmental monitoring, and sustainable industrial practices.

The book balances theory and practical application with chapters covering AI-driven solutions in energy optimisation, climate modelling, smart grids, precision agriculture, waste management, water resource management, and circular economy initiatives. Emerging AI techniques, including machine learning, deep learning, reinforcement learning, and predictive analytics, are examined for their potential to reduce environmental impact, enhance efficiency, and support data-driven decision-making in sustainability-focused domains. Case studies and real-world examples illustrate how AI applications are transforming industries and communities toward a greener, more resilient future.


Key Features

  • - Provides interdisciplinary insights into connecting AI, environmental science, and sustainable development.
  • - Real-world case studies demonstrating AI applications for renewable energy, smart infrastructure, and resource management.
  • - Discusses ethical, social, and policy considerations in AI-enabled sustainability solutions.
  • - Examines the impact of emerging AI techniques and their practical implications on sustainable practices.

Target Readership :

Researchers, academics, graduate students and professionals in AI, environmental engineering, renewable energy, and sustainability studies.

Preface

As sustainability becomes the solution to modern engineering, artificial intelligence has rapidly evolved from a niche technological tool to a unifying force that can address most of the complex sustainability challenges of our time. In this transformative age, Volume II of AI-Driven Technologies for Sustainable Engineering continued to explore how AI engages with sustainability, forging new avenues toward a regenerative world.

Where Volume I set the stage by highlighting foundational AI trends in energy, agriculture, water, etc., this volume takes that vision further by exploring new frontiers and amplifying voices breaking boundaries across disciplines.

This volume, “Technological Applications of AI in the Development of Sustainable Future,” of the book series, “AI and Emerging Technologies for a Sustainable Future”, presents a wider canvas capturing how AI combines with renewable infrastructure planning, healthcare systems, fabric detection systems, and sustainable materials discovery. With the ongoing focus on interdisciplinary collaboration, the book dissects the ethical, technical, and societal implications of intelligent systems integrated into sustainable frameworks.

Chapters are enhanced with new case studies, new perspectives from developing AI methodologies, and prospective scenarios, providing a roadmap for sustainable engineering in theory and practical application. The book focuses not only on technological development but also on the cultural and institutional changes necessary for actual sustainable transformation.

Our heartfelt thanks to the authors, the visionary thinkers who are creating the next generation of sustainable engineers. Their contributions make this volume an indispensable guide for engineers, innovators, policymakers, and learners dedicated to employing AI not only as a tool but as a collaborator in creating a more sustainable world.

We wish that this book will be informative and inspirational.

Shilpa Gupta
Electronics and Communication Department
Chandigarh University, Gharuan, Mohali, Punjab
India

&

Ritika Sharma
Computer Science and Engineering Department
Maharaja Agrasen University, Baddi
Himachal Pradesh, India