Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches

Large processing facilities require multiple types of energy, such as electrical and thermal (hot water or steam). Cogeneration, or Combined Heat and Power (CHP), can provide significant economic and energy savings. However, scheduling its operation in real-time is challenging. This work compares de...

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Bibliographic Details
Main Authors: Giorgia Ghione, Vincenzo Randazzo, Eros Pasero, Marco Badami
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11083612/
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