£126.87

Elsevier Physics-Aware Machine Learning for Energy Systems

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Description

Explore the intersection of data science and physical laws with Physics-Aware Machine Learning for Integrated Energy Systems Management. Published by Elsevier as part of the Advances in Intelligent Energy Systems series, this book addresses the complex needs of modern energy infrastructure. By integrating physical principles with machine learning techniques, this text provides a foundation for managing integrated energy systems more effectively. It is designed for readers interested in the application of intelligent systems within the computing and internet domain. Whether you are studying advanced energy management or exploring the evolution of intelligent energy systems, this resource offers specialized knowledge from a leading academic publisher. This volume serves as a technical guide for understanding how machine learning can be applied to energy management while respecting the fundamental constraints of physical systems.

Key Features

Part of the Advances in Intelligent Energy Systems series from Elsevier.

Focuses on the application of machine learning within energy management frameworks.

Addresses the integration of physical awareness into intelligent energy systems.

Categorized under Computing and Internet for specialized technical study.

Provides academic insights into managing integrated energy infrastructures.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 August 2025
Listed Since
20 December 2024

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