RSTER delivers advanced solutions for evaluating the reliability and safety of complex multi-domain engineering systems. Additionally, RSTER has devised strategic, methodical approaches to ensure the safe and reliable performance of system components. Our methodology focuses on building a comprehensive understanding of reliability and safety by identifying potential failures, analyzing their causes and impacts, and implementing measures to eliminate or mitigate failure risks throughout the system’s lifetime.
Main role: RSTER serves as the Coordinator for the TWINVEST project, ensuring seamless coordination activities. In addition to its coordination responsibilities, RSTER is primarily focused on defining ancillary service requirements and developing machine learning-based models for predicting grid disturbances using TSO/DSO data. Additionally, RSTER will enable predictive and preventive maintenance through an AI-driven, multi-domain toolchain.
