Automatic Identification of Fault Types in the Distribution Network using Supervised Learning

Electrical faults in the distribution system can lead to interruptions in customer power supply resulting in penalties that are borne by the distribution system operator. Accurate fault classification is an important step in locating the fault to achieve faster network restoration times. This reduces the operational costs of the system operator...

Predicting True Vulnerabilities from Static Analyzer Warnings in Industry: An Attempt to Faster Releasing Software in Industry

An increasing digital world, comes with many benefits but unfortunately also many drawbacks. The increase of the digital world means an increase in data and software. Developing more software unfortunately also means a higher probability of vulnerabilities, which can be exploited by adversaries. Adversaries taking advantage of users and software...