Machine-Learning-Aided Optimization Framework for Design of Medium-Voltage Grid-Connected Solid-State Transformers

Article

Abstract: Due to the lack of a comprehensive multiobjective solid-state transformer (SST) design framework, SS

Palabras claves:

Design Optimization, Machine Learning (ML), Silicon Carbide (SiC), solid-state transformer (SST)

Autores:

Hazarika D., Saha J., Sanjib Kumar Panda, Yadav Gorla N.B.

Fuentes:

scopus