Home | Programme overview | All oral presenters | Poster presentations | Press coverage | Event videos | Event photos

Back

-

 

Automatic Anomaly Detection in Offshore Wind SCADA Data

Steffen Dienst University of Leipzig, Germany AUTOMATIC ANOMALY DETECTION IN OFFSHORE WIND SCADA DATA Abstract ID: 626  Poster code: PO.078a | Download poster: PDF file (0.22 MB) | Download full paper: PDF (0.57 MB)

Presenter's biography

Biographies are supplied directly by presenters at WindEurope 2016 and are published here unedited

Steffen Dienst is a PhD student of Prof. Fähnrich at the Institute of Computer Science at the University of Leipzig. During and after his undergraduate studies he has worked on a variety of software projects in very different domains. Today, he works on creating and combining algorithms for automatic monitoring of SCADA data. In his thesis he strives to bridge the gap between academia and application by using machine learning techniques to answer the question “How can I assist renewable energy operators to monitor more power plants efficiently and effectively?”

Abstract

View abstract