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What is Digital Twin for Microgrid Scheduling about?

This article discusses the implementation of a digital twin technology for optimal scheduling of energy storage systems (ESS) within microgrids, aimed at enhancing energy management through real-time data utilization. The proposed model employs machine learning techniques, including decision trees and NARX, to minimize electricity costs while adapting to changes in microgrid configurations. A case study demonstrates that the model can effectively save on electricity bills compared to traditional optimizatio

Author

Zaineb Yakoub

Language

EN