Physics-Aware Machine Learning for Integrated Energy Systems Management (Advances in Intelligent Energy Systems)
by Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Jamshid Aghaei
Physics-Aware Machine Learning for Integrated Energy Systems Management examines the connection between physics-informed computational approaches and integrated energy systems. Written by Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, and Jamshid Aghaei, it offers a specialized perspective on intelligent energy systems management.
About This Book
Physics-Aware Machine Learning for Integrated Energy Systems Management presents a focused treatment of machine learning informed by physical principles.
The book centers on integrated energy systems management, connecting computational methods with the behavior and requirements of energy systems.
It is authored by Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, and Jamshid Aghaei.
Part of the Advances in Intelligent Energy Systems series, this title is suited to readers exploring the relationship between intelligent methods, physics, and energy management.
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