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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 (Paperback) Loot Price: R4,074
Discovery Miles 40 740
Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm - With Artificial Intelligence Integration in Energy...

Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm - With Artificial Intelligence Integration in Energy and Other Use Cases (Paperback)

Bahman Zohuri, Farhang Mossavar-Rahmani, Farahnaz Behgounia

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Loot Price R4,074 Discovery Miles 40 740 | Repayment Terms: R382 pm x 12*

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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.

General

Imprint: Academic Press Inc
Country of origin: United Kingdom
Release date: July 2022
First published: 2022
Authors: Bahman Zohuri • Farhang Mossavar-Rahmani • Farahnaz Behgounia
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 998
ISBN-13: 978-0-323-95112-8
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Energy conversion & storage
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LSN: 0-323-95112-0
Barcode: 9780323951128

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