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

With Artificial Intelligence Integration in Energy and Other Use Cases

Häftad, Engelska, 2022

Av Bahman Zohuri, Farhang Mossavar Rahmani, Farahnaz Behgounia, USA) Zohuri, Bahman (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, USA) Behgounia, Farahnaz (Graduate Student, Golden Gate University at San Francisco, California

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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

Produktinformation

Utgivningsdatum2022-07-12
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor998
FörlagElsevier Science
ISBN9780323951128

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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. 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.

Part I: Infrastructure Concepts1. Knowledge is Power2. A General Approach to Business Resilience System (BRS)3. Data Warehousing, Data Mining, Data Modeling, and Data Analytics4. Structured and Unstructured Data Processing5. Mathematical Modeling Driven Predication6. Fuzzy Logics: A New Method of Predictions7. Neural Network Concept8. Population - Human Growth Driving Ecology9. Economic Factors10. Risk Management, Risk Assessment, and Risk Analysis11. Today’s Fast-Paced TechnologyPart II: The Impact of Energy on Tomorrow’s World12. Understanding of Energy13. Economic Impact of Energy14. Renewable Energy15. Non-Renewable Energy16. Nuclear Energy as Non-Renewable Energy Source17. Energy Storage Technologies and their Role in Renewable IntegrationPart III: The Mathematical Approach and Modeling18. Predictive Analytics19. Engineering Statistics20. Data and Data Collection Driven Information21. Statistical Forecasting - Regression and Time Series Analysis22. Introduction to Forecasting: The Simplest Models23. Notes on Linear Regression Analysis24. Principles and Risks of Forecasting25. Artificial Intelligence Driving Predictive and Forecasting ParadigmPart IV: Python Programming Driven Artificial Intelligence26. Python Programming Driven Artificial Intelligence27. Artificial Intelligence, Machine Learning and Deep Learning Driving Big Data28. Artificial Intelligence, Machine Learning and Deep Learning Use Cases