Reliable Non-Parametric Techniques for Energy System Operation and Control : Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods
Book Details
Format
Paperback / Softback
Book Series
Advances in Intelligent Energy Systems
ISBN-10
0443364923
ISBN-13
9780443364921
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 1st, 2025
Print length
310 Pages
Weight
450 grams
Product Classification:
Power generation & distribution
Ksh 28,600.00
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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.
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