Physics-Aware Machine Learning for Integrated Energy Systems Management Elsevier

Physics-Aware Machine Learning for Integrated Energy Systems ManagementAuthor(s): Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Jamshid Aghaei\nFormat: Paperback\nPublisher: Elsevier - Health Sciences Division, United States\nImprint: Elsevier - Health Sciences Division\nISBN-13: 9780443329845, 978-0443329845\nSynopsis\nPhysics-Aware Machine Learning for Integrated Energy Systems Management, a new release in the Advances in Intelligent Energy Systems series, guides the reader through this state-of-the-art approach to computational methods, from data input and training to application opportunities in integrated energy systems. The book begins by establishing the principles, design, and needs of integrated energy systems in the modern sustainable grid before moving into assessing aspects such as sustainability, energy storage, and physical-economic models. Detailed, step-by-step procedures for utilizing a variety of physics-aware machine learning models are provided, in.