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Physics-Aware Machine Learning for Integrated Energy Systems Management - (Advances in Intelligent Energy Systems) (Paperback)
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Highlights
- 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.
- Author(s): Mohammadreza Daneshvar & Behnam Mohammadi-Ivatloo & Kazem Zare & Jamshid Aghaei
- 458 Pages
- Technology, Power Resources
- Series Name: Advances in Intelligent Energy Systems
Description
Book Synopsis
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.Dimensions (Overall): 8.9 Inches (H) x 6.0 Inches (W) x 1.0 Inches (D)
Weight: 1.55 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 458
Genre: Technology
Sub-Genre: Power Resources
Series Title: Advances in Intelligent Energy Systems
Publisher: Elsevier
Theme: Electrical
Format: Paperback
Author: Mohammadreza Daneshvar & Behnam Mohammadi-Ivatloo & Kazem Zare & Jamshid Aghaei
Language: English
Street Date: August 19, 2025
TCIN: 1007271922
UPC: 9780443329845
Item Number (DPCI): 247-50-9729
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 6 inches width x 8.9 inches height
Estimated ship weight: 1.55 pounds
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