Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm
With Artificial Intelligence Integration in Energy and Other Use Cases
- 1st Edition - July 12, 2022
- Imprint: Academic Press
- Authors: Bahman Zohuri, Farhang Mossavar Rahmani, Farahnaz Behgounia
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 1 1 2 - 8
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 9 1 9 9 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 1 1 3 - 5
Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow’s World with Mathematical Modeling and Python Programming Driven Artif… Read more
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Request a sales quoteKnowledge 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
Energy engineers; electrical engineers; data scientists; environmental engineers; alternative energy researchers
Part I: Infrastructure Concepts
1. Knowledge is Power
2. A General Approach to Business Resilience System (BRS)
3. Data Warehousing, Data Mining, Data Modeling, and Data Analytics
4. Structured and Unstructured Data Processing
5. Mathematical Modeling Driven Predication
6. Fuzzy Logics: A New Method of Predictions
7. Neural Network Concept
8. Population - Human Growth Driving Ecology
9. Economic Factors
10. Risk Management, Risk Assessment, and Risk Analysis
11. Today’s Fast-Paced Technology
Appendix
A: Pendulum Problem
B: Fluorescence Microscopy
C: Factors Contributed to the Financial Crisis 2008 - 2009
D: Factors contributing to the financial crisis of 2008
E: Forecasting the Future by the OECD
F: The 2025 Global Landscape
G: The World in 2050
H: Risk
Part II: The Impact of Energy on Tomorrow’s World
13. Economic Impact of Energy
14. Renewable Energy
15. Non-Renewable Energy
16. Nuclear Energy as Non-Renewable Energy Source
17. Energy Storage Technologies and their Role in Renewable Integration
Appendix
A: Fission Nuclear Energy Research and Development Roadmap
B: Thermonuclear Fusion Reaction Driving Electrical Power Generation
Part III: The Mathematical Approach and Modeling
19. Engineering Statistics
20. Data and Data Collection Driven Information
21. Statistical Forecasting - Regression and Time Series Analysis
22. Introduction to Forecasting: The Simplest Models
23. Notes on Linear Regression Analysis
24. Principles and Risks of Forecasting
25. Artificial Intelligence Driving Predictive and Forecasting Paradigm
Appendix
A: The Weibull Distribution
B: The Logarithm Transformation
C: Geometric Random Walk Model
D: Random Walk Model
E: Examples of Forecasting Driven by Artificial Intelligence and Machine Learning
F: Examples of Python Programming Driving Artificial Intelligence and Machine Learning
Part IV: Python Programming Driven Artificial Intelligence
27. Artificial Intelligence, Machine Learning and Deep Learning Driving Big Data
28. Artificial Intelligence, Machine Learning and Deep Learning Use Cases
Appendix
A: Artificial Intelligence and Human Intelligence
B: Deep Learning, Machine Learning Limitations and Flaws
C: Machine Learning Driven an E-Commerce
D: From Business Intelligence to Artificial Intelligence
- Edition: 1
- Published: July 12, 2022
- No. of pages (Paperback): 998
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323951128
- Paperback ISBN: 9780443191992
- eBook ISBN: 9780323951135
BZ
Bahman Zohuri
Dr. Bahman Zohuri is currently an Adjunct Professor in Artificial Intelligence Science at Golden Gate University, San Francisco, California, who runs his own consulting company and was previously a consultant at Sandia National Laboratory. Dr. Zohuri earned his bachelor’s and master’s degrees in physics from the University of Illinois. He earned his second master’s degree in mechanical engineering, and also his doctorate in nuclear engineering from the University of New Mexico. He owns three patents and has published more than 40 textbooks and numerous journal publications.
Affiliations and expertise
Adjunct Professor, Artificial Intelligence Scientist, Golden Gate University, San Francisco, CA; Research Associate Professor, Electrical Engineering and Computer Science, University if New Mexico, Albuquerque, New Mexico, USAFB
Farahnaz Behgounia
Farahnaz Behgounia is presently a graduate student at Golden Gate University at San Francisco, California and in the process of obtaining her Master of Science degree from the school of Business Analytics. She has obtained her Bachlor Degreee (BS) in pure mathematics and have taught the subject at various schools as an instructor. Ms. Behgounia’s present interest is in Artificial Intelligence (AL) and its application in industry along with its sub-component such as Machine Learning (ML) and Deep Leaning (DL). Her recent interest in the subject of AI has directed her into more innovative research in AI and writing various algorithim by utilizing python language for various applications such as E-Commerce,the medical field and others.
Affiliations and expertise
Graduate Student, Golden Gate University at San Francisco, California, USARead Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm on ScienceDirect