Dusan Paripovic developed the Thermal Time Series Outage Counting feature for the AntaresSimulatorTeam/AntaREST repository, focusing on enhancing the accuracy of thermal time series data by systematically counting both forced and planned outages. Using Python and leveraging skills in API and backend development, Dusan implemented data processing logic that increases the granularity of outage modeling, supporting more reliable analytics for energy systems. The feature enables precise tracking of outage events within generated time series, directly benefiting grid operations and planning. This work demonstrated a deep understanding of reliability analytics and delivered a robust, production-ready improvement without introducing new bugs.