Artificial Intelligence and Machine Learning Applications for Sustainable Development
eBook - ePub

Artificial Intelligence and Machine Learning Applications for Sustainable Development

  1. 448 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Machine Learning Applications for Sustainable Development

About this book

The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.

This book:

  • Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational research
  • Showcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applications
  • Illustrates strategies for sustainable development using artificial intelligence and machine learning applications
  • Presents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilization
  • Highlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sources

It is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.

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Yes, you can access Artificial Intelligence and Machine Learning Applications for Sustainable Development by A. J. Singh,Nikita Gupta,Sanjay Kumar,Sumit Sharma,Subho Upadhyay,Sandeep Kumar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. Foreword
  7. Preface
  8. About the editors
  9. List of contributors
  10. Acknowledgments
  11. 1 Comprehensive framework and classification of advanced artificial intelligence and machine learning modelling techniques
  12. 2 Sustainable development using renewable energy sources: Artificial intelligence and machine learning contribution
  13. 3 Artificial intelligence as a tool for building more resilient cities in the climate change era: A systematic literature review
  14. 4 Achieving sustainable development goals through knowledge management in Industry 4.0: A critical review from the perspective of Bangladesh
  15. 5 Harmonizing innovation and accountability: The intersection of artificial intelligence and machine learning in sustainable development
  16. 6 A new innovative methodology for photovoltaic integration on rooftops for cost reduction and reduced grid dependency
  17. 7 A residual deep neural networkā€“based noninvasive system for tomato crop health monitoring, disease type identification, and remedial measures
  18. 8 Advancements in healthcare: Machine learning applications for quick disease diagnostics and individualized treatment
  19. 9 IoT-based home automation using NodeMCU
  20. 10 Stabilization and synchronization of Chenā€“Lee chaotic system using sliding mode control approach
  21. 11 Application of machine learning models for power systems security assessment
  22. 12 Machine learning and deep learning models for effective forecasting of renewable energy generation
  23. 13 Unlocking predictive potential: An innovative approach for accuracy enhancement in software effort estimation
  24. 14 Deep learning-based approach to predict software faults
  25. Index