IEEE

Machine-Learning-Based Adaptive Anomaly Detection for Control Feedback Interferences in Solid-State Transformers

Abstract: Solid-state transformer (SST)-based power substations have emerged as a pivotal innovation for integrating distributed generation and energy storage systems within modern grid. However, SSTs ...
IEEE

Machine Learning-Based Classification of Suspension Droplet-Solid Wall Impacts for Control of Droplet Fragmentation

Abstract: This study explores the collision of suspension droplets against solid dry surfaces (substrates). It applies and compares multiple machine learning (ML) models for the classification of ...