Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm
eBook - ePub

Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm

With Artificial Intelligence Integration in Energy and Other Use Cases

  1. 998 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm

With Artificial Intelligence Integration in Energy and Other Use Cases

About this book

Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow's World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in both AI technology and energy. Sections lay the groundwork for tomorrow's computing functionality, starting with how to build a Business Resilience System (BRS), data warehousing, data management, and fuzzy logic. Subsequent chapters dive into the impact of energy on economic development and the environment and mathematical modeling, including energy forecasting and engineering statistics. Energy examples are included for application and learning opportunities. A final section deliver the most advanced content on artificial intelligence with the integration of machine learning and deep learning as a tool to forecast and make energy predictions. The reference covers many introductory programming tools, such as Python, Scikit, TensorFlow and Kera. - Helps users gain fundamental knowledge in technology infrastructure, including AI, machine learning and fuzzy logic - Compartmentalizes data knowledge into near-term and long-term forecasting models, with examples involving both renewable and non-renewable energy outcomes - Advances climate resiliency and helps readers build a business resiliency system for assets

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Yes, you can access Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm by Bahman Zohuri,Farhang Mossavar Rahmani,Farahnaz Behgounia in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Energy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2022
Print ISBN
9780323951128
eBook ISBN
9780323951135
Topic
Physical Sciences
Subtopic
Energy

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Dedication
  7. About the authors
  8. Preface
  9. Acknowledgment
  10. Part I: The general infrastructure
  11. Part II: The impact of energy on tomorrowā€™s world
  12. Part III: The mathematical approach and modeling
  13. Part IV: Python programming-driven artificial intelligence
  14. Chapter 28 Artificial intelligence, machine learning, and deep learning use cases
  15. Appendix A: Pendulum problem
  16. Appendix B: Fluorescence microscopy
  17. Appendix C: Factors contributed to the financial crisis 2008ā€“09
  18. Appendix D: factors contributing to the financial crisis of 2008
  19. Appendix E: Forecasting the future by the OECD
  20. Appendix F: The 2025 global landscape
  21. Appendix G: The world in 2050
  22. Appendix H: Risk
  23. Appendix I: Fission nuclear energy research and development roadmap
  24. Appendix J: Thermonuclear fusion reaction driving electrical power generation
  25. Appendix K: The Weibull distribution
  26. Appendix L: The logarithm transformation
  27. Appendix M: Geometric random walk model
  28. Appendix N. Appendix N: Random walk model
  29. Appendix O: Examples of forecasting driven by artificial intelligence and machine learning
  30. Appendix P: Examples of python programming driving artificial intelligence and machine learning
  31. Appendix Q: Artificial intelligence and human intelligence
  32. Appendix R: Deep learning, machine learning limitations and flaws
  33. Appendix S: Machine learningā€“driven e-commerce
  34. Appendix T: From business intelligence to artificial intelligence
  35. Index