Abstract: Microgrids are at the center of modern sustainable power systems due to the increasing penetration of distributed energy resources (DERs) and the growing adoption of inverter-based ...

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The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Abstract: With the advent of modernization, it is inevitable from various sources that there is a significant increase in the energy demand. In order to efficiently meet this demand, we need to ensure ...

This paper reviews fault identification and predictive maintenance techniques essential for the reliable operation of high-voltage power systems. The increasing integration of renewable energy sources ...

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...

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