Knowledge Is Power in Four Dimensions: Models to Forecast Future Paradigm: With Artificial Intelligence Integration in Energy and Other Use Cases - Brossura

Zohuri, Bahman; Behgounia, Farahnaz

Brossura

ISBN 10: 0323951120 ISBN 13: 9780323951128

Casa editrice: Academic Pr, 2022

Riassunto

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.

Su questo libro

Informazioni sugli autori

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.

Dalla quarta di copertina

Many industries are aggressively growing their digital infrastructure and with it comes an increased demand on electricity driven by both renewable and non-renewable sources of energy. Energy engineers are quickly learning processing information, such as deep learning and AI, but there is a gap on how to utilize AI technology while maintaining sustainable energy needs and invest in the most efficient decisions for energy companies. Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm with Artificial Intelligence Integration in Energy and Other Use Cases is the first volume in a series that delivers knowledge on key infrastructure in both AI technology and energy, showcasing a scientific method to model and make stronger energy forecasts and decisions.

Structured into four development components, the reference lays the groundwork on tomorrow’s computing functionality starting with how to build a Business Resilience System (BRS). Data warehousing, data management, and fuzzy logic are included. In part II, the authors dive further into the impact of energy on economic development and the environment. Chapters are organized by energy sources with each chapter covering definition, present data, future data, technology, and the advantages and disadvantages for each before rounding out with storage technology. Part III adds a layer of mathematical modeling combined with energy forecasting. Starting with engineering statistics, the reference progresses into various kinds of forecasting and plots, starting with the simplest such as linear regression and then advances into the principles of forecasting. Energy examples are included for application and learning opportunities. Last, Part IV delivers the most advanced content into artificial intelligence with 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, Keras and more to utilize linear and non-linear regression models for the purpose of forecasting. Big data in structured and unstructured processing are included, helping the engineer understand the right information for real-time processing. Packed with examples, Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm with Artificial Intelligence Integration in Energy and Other Use Cases gives today’s engineers the knowledge of information to make more trusted decisions, forecast energy needs, and build climate resiliency within their operations.

Dettagli dell'edizione

• Editore: Academic Pr
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0323951120
• ISBN 13: 9780323951128
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 800
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile