Multivariate Methods
Description: Power-quality monitoring in modern grids produces far more measurement data than current evaluation practice makes use of: analyses today are mostly limited to simple weekly pass/fail checks against fixed limit values, leaving most of the information about how quality parameters actually behave over time unused. This project develops multivariate analysis methods that go beyond that, identifying similarities in the shape of quality-parameter time series and quantifying correlations between parameters, measurement sites and evaluation periods. The resulting indices aim to reveal patterns and trends in power quality that standard evaluations currently miss, supporting earlier detection of emerging issues, better planning of measurement campaigns, and more well-founded future standards.
Duration: 01/2024–12/2026