Name: Physics-Aware Machine Learning for Integrated Energy Systems Management
SKU: 64747883
Price: 6217.00 TWD
Availability: InStock
Author: Behnam Mohammadi-Ivatloo;Mohammadreza Daneshvar;Kazem Zare;Jamshid Aghaei

portada Physics-Aware Machine Learning for Integrated Energy Systems Management

Physics-Aware Machine Learning for Integrated Energy Systems Management

Type

Physical Book

Publisher

Elsevier - Health Sciences Division

Author

Behnam Mohammadi-Ivatloo;Mohammadreza Daneshvar;Kazem Zare;Jamshid Aghaei

Collection

Advances in Intelligent Energy Systems

Year

2025

Pages

458

Format

Paperback

Dimensions

22.9x15.2 cm

ISBN13

9780443329845

Physics-Aware Machine Learning for Integrated Energy Systems Management

Behnam Mohammadi-Ivatloo;Mohammadreza Daneshvar;Kazem Zare;Jamshid Aghaei (Author) · Elsevier - Health Sciences Division · Paperback

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Synopsis "Physics-Aware Machine Learning for Integrated Energy Systems Management"

Physics-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, including reinforcement learning, feature learning, and neural networks. Supporting students, researchers, and industry engineers to make renewable-integrated grids a reality, this book is a holistic introduction to an exciting new approach in energy systems management.