Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Physics-Aware Machine Learning for Integrated Energy Systems Management

Physics-Aware Machine Learning for Integrated Energy Systems Management

Daneshvar, Mohammadreza
Mohammadi-Ivatloo, Behnam
Zare, Kazem

Paperback

Series: Advances in Intelligent Energy Systems

Technology & Engineering

ISBN10: 0443329842
ISBN13: 9780443329845
Publisher: Elsevier
Published: Aug 19 2025
Pages: 458
Weight: 1.55
Height: 1.00 Width: 6.00 Depth: 8.90
Language: English
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.

Also in

Technology & Engineering

View All