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Applications of Deep Machine Learning in Future Energy Systems

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Applications of Deep Machine Learning in Future Energy Systems Mohammad-Hassan Khooban
Libristo kod: 44463516
Nakladnici Elsevier Science, srpanj 2024
Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artifici... Cijeli opis
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Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artificial Intelligence techniques to present deep machine learning suitable for the complexity of sustainable energy systems. The first two chapters take the reader through the latest trends in power engineering and system design and operation, before laying out the current AI approaches and our outstanding limitations. Later chapters provide in-depth accounts of specific challenges and the use of innovative third-generation machine learning, including neuromorphic computing, to resolve issues from security to power supply. An essential tool for the management, control, and modelling of future energy systems, Applications of Deep Machine Learning maps a practical path towards AI capable of supporting sustainable energy. Clarifies the current state and future trends of energy system machine learning and the pitfalls facing our transitioning systemsProvides guidance on 3rd-generation AI tools for meeting the challenges of modelling and control in modern energy systemsIncludes case studies and practical examples of potential applications to inspire and inform researchers and industry developers

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Informacije o knjizi

Puni naziv Applications of Deep Machine Learning in Future Energy Systems
Autor Mohammad-Hassan Khooban
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2024
Broj stranica 334
EAN 9780443214325
ISBN 0443214328
Libristo kod 44463516
Nakladnici Elsevier Science
Težina 450
Dimenzije 151 x 229

Kategorija

Technology, Engineering, Agriculture > Energy technology & engineering > Electrical engineering > Electric motors
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