Smart Green Energy Production
eBook - ePub

Smart Green Energy Production

  1. 239 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Smart Green Energy Production

About this book

The new book "Smart Green Energy Production" explores the innovative surfaces and Intersections between Intelligent Algorithms and Green Energy Technologies to advance and enhance sustainable energy solutions. This comprehensive guide covers state-of-the-art and future-oriented computational strategies for optimizing or optimally controlling green energy production and managing carbon dioxide emissions. Key topics also include the application of smart hybrid quantum computing, the efficiency of swarm intelligence, the scalability of cloud computing, as well as analytical, heuristic and sophisticated optimization and controlling techniques. This book provides a detailed analysis of how these technologies can be leveraged to create more efficient, cost-effective, as well as human-, environmentally and life-friendly energy systems, offering readers a thorough understanding of the future of sustainable energy generation, induction, production and consumption.

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Yes, you can access Smart Green Energy Production by Pandian Vasant,J. Joshua Thomas,Vladimir Panchenko,Gerhard Wilhelm Weber in PDF and/or ePUB format, as well as other popular books in Business & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2024
eBook ISBN
9783110717747
Edition
0
Topic
Business
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Business

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. List of authors
  5. Chapter 1 Use of digital systems in the design system of photovoltaic solar stations
  6. Chapter 2 Potential wind energy in Turkmenistan
  7. Chapter 3 Potential of using biogas technology in Turkmenistan
  8. Chapter 4 Energy efficiency
  9. Chapter 5 Latent renewable energy in Turkmenistan
  10. Chapter 6 Approximate stochastic simulation algorithms
  11. Chapter 7 The role of supply chain management in the construction industry
  12. Chapter 8 Selection of threshold in binary graphs of biological networks
  13. Chapter 9 Model selection criteria with bootstrap algorithms: applications in biological networks
  14. Chapter 10 Technocracy in Governance: new directions in city functioning and urban planning
  15. Chapter 11 Outlier detection in biomedical data: ECG-focused approaches
  16. Chapter 12 Optimization of debt collection strategies for South African banks with machine learning models
  17. Chapter 13 Performance of six turbulence models in predicting two-phase flow on a hydraulic test bench
  18. Index