Explaining the solutions of the unit commitment with interpretable machine learning

The energy transition needs mathematical models to address the complexity of shifting towards sustainable energy sources. In addition to providing accurate solutions, these models must be explainable and available for discussion among stakeholders to facilitate informed decision-making and ensure a...

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Bibliographic Details

Published in:	International Journal of Electrical Power & Energy Systems
Main Authors:	Sara Lumbreras, Diego Tejada, Daniel Elechiguerra
Format:	Article
Language:	English
Published:	Elsevier 2024-09-01
Subjects:	Power systems Unit commitment Explainable machine learning Interpretability
Online Access:	http://www.sciencedirect.com/science/article/pii/S0142061524003272