5 research outputs found
A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming
A Deep Learning Approach for Root Cause Analysis of Application Anomalies for Real-Time IIoT
Energy Cost Optimization of Globally Distributed Internet Data Centers by Copula-based Multidimensional Correlation Modeling
Research Projekt SiNED Insights - Ancillary services for Reliable Power Grids in times of the Progressive German Energiewende and Digital Transformation
Ancillary services in future power systems have to be provided by decentralized distributed energy resources, resulting
in various, interdisciplinary issues. Focusing on the three competence areas (Electrical Power Engineering, Digital
Transformation/Information and Communication Technology, and Energy Law and Economics), insights for the central
research goals of the project are presented (after three of five years of project duration). While results indicate, that the
future ancillary services demand of a climate-neutral power system can be supplied with further developments, open
questions and issues still remain. The interdisciplinary studies of the SiNED consortium show that it will be possible to
provide ancillary services also from the lower voltage levels, both technically and economically. These results and the
necessary regulatory frameworks are discussed in this paper