A digital twin based forecasting framework for power flow management in DC microgrids

A digital twin based forecasting framework for power flow management in DC microgrids

Abstract The ability to forecast system conditions is integral to the definition and functionality of digital twins. While forecasting methods have been explored for use in digital twin systems, the integration of feedback mechanisms for real-time forecasting and in-situ decision-making in DC microg...

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Bibliographic Details
Main Authors: Kerry Sado, Jarrett Peskar, Austin Downey, Jamil Khan, Kristen Booth
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Digital twin
Forecasting
Power systems
Electric ships
Decision-making
Online Access:https://doi.org/10.1038/s41598-025-91074-0
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https://doi.org/10.1038/s41598-025-91074-0

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