Tracked shipping to Austria with premium packaging for just 3,99 € 

Ship to
Austria
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe. (Advances in Intelligent Energy Systems)
Type
Physical Book
Publisher
Author
Language
English
Format
Paperback
ISBN13
9780443364921

Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe. (Advances in Intelligent Energy Systems)

Hongcai Zhang; Yonghua Song; Ge Chen; Peipei Yu (Author) · Elsevier · Paperback

Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe. (Advances in Intelligent Energy Systems) - Hongcai Zhang; Yonghua Song; Ge Chen; Peipei Yu

New Book Imported to Austria
Delivery: 13 Jul - 15 Jul Shipping: 10 to 11 business days.
191,44 €
Import costs and 10% VAT included in the price ✅
191,44 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe. (Advances in Intelligent Energy Systems)"

Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews