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What is Machine Learning For Improved Gas Network Models in Coordinated Energy Systems about?

This document presents a neural-network-constrained optimization method aimed at enhancing the modeling of non-convex natural gas flow dynamics within coordinated power and gas dispatch systems. The proposed framework incorporates a regression model of the Weymouth equation, allowing for bidirectional gas flow without complex convexification techniques, and demonstrates improved computational efficiency. Numerical studies based on the Belgian power and gas systems indicate that this approach outperforms exi

Author

benalex.baby2

Language

EN