Applications of Deep Machine Learning in Future Energy Systems Khooban Paperback
Applications of Deep Machine Learning in Future Energy Systems\n\nPushes the limits of machine learning to provide practical innovations for modern energy systems\u2019 modeling, management, and control\n\nMohammad-Hassan Khooban (Edited by)\n\n9780443214325, Elsevier Science\n\nPaperback / softback, published 21 August 2024\n\n334 pages\n22.9 x 15.2 x 2.2 cm, 0.45 kg\n\nApplications 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 current AI approaches and 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.\n\nAn essential tool f]
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