A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network
Security-constrained unit commitment (SCUC) is of great importance for the economic and reliable operation of the power system. The computational hardness of SCUC remains a significant issue in the power system and electricity market operations, especially with the rapid expansion of the power syste...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
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Series: | International Journal of Electrical Power & Energy Systems |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524005453 |
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