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

With Artificial Intelligence Integration in Energy and Other Use Cases

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2022
ISBN13: 9780323951128
Rubricering
Elsevier Science e druk, 2022 9780323951128
€ 211,00
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Samenvatting

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.

Specificaties

ISBN13:9780323951128
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part I: Infrastructure Concepts<br>1. Knowledge is Power<br>2. A General Approach to Business Resilience System (BRS)<br>3. Data Warehousing, Data Mining, Data Modeling, and Data Analytics<br>4. Structured and Unstructured Data Processing<br>5. Mathematical Modeling Driven Predication<br>6. Fuzzy Logics: A New Method of Predictions<br>7. Neural Network Concept<br>8. Population - Human Growth Driving Ecology<br>9. Economic Factors<br>10. Risk Management, Risk Assessment, and Risk Analysis<br>11. Today’s Fast-Paced Technology<br></p> <p>Part II: The Impact of Energy on Tomorrow’s World<br>12. Understanding of Energy<br>13. Economic Impact of Energy<br>14. Renewable Energy<br>15. Non-Renewable Energy<br>16. Nuclear Energy as Non-Renewable Energy Source<br>17. Energy Storage Technologies and their Role in Renewable Integration</p> <p>Part III: The Mathematical Approach and Modeling<br>18. Predictive Analytics<br>19. Engineering Statistics<br>20. Data and Data Collection Driven Information<br>21. Statistical Forecasting - Regression and Time Series Analysis<br>22. Introduction to Forecasting: The Simplest Models<br>23. Notes on Linear Regression Analysis<br>24. Principles and Risks of Forecasting<br>25. Artificial Intelligence Driving Predictive and Forecasting Paradigm</p> <p>Part IV: Python Programming Driven Artificial Intelligence<br>26. Python Programming Driven Artificial Intelligence<br>27. Artificial Intelligence, Machine Learning and Deep Learning Driving Big Data<br>28. Artificial Intelligence, Machine Learning and Deep Learning Use Cases</p>
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        Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm