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

With Artificial Intelligence Integration in Energy and Other Use Cases

AvBahman Zohuri,Farhang Mossavar Rahmani

Häftad, Engelska, 2022

1 938 kr

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Beskrivning

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

Utgivningsdatum:2022-07-12
Mått:191 x 235 x 50 mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:998
Förlag:Elsevier Science
ISBN:9780323951128

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Mer om författaren

Prof. Bahman Zohuri is an accomplished scientist, engineer, and academic with deep expertise in nuclear engineering, thermodynamics, and applied physics. He serves as an Adjunct Professor at Golden Gate University, where he teaches courses in artificial intelligence and machine learning. Prof. Zohuri holds degrees in Applied Mathematics, Physics, Mechanical Engineering, and Nuclear Engineering from institutions including the University of Illinois and the University of New Mexico. Early in his career, he contributed to advanced research projects at Westinghouse, and later in defense and semiconductor industries, before founding Galaxy Advanced Engineering, Inc. in 1991. Over his career, Prof. Zohuri has authored dozens of technical books and published over a hundred journal articles. He continues to pursue research in fields such as heat transfer, reactor design, computational methods, data mining, and AI-driven engineering solutions. 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.

Innehållsförteckning

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