Developed the Thermal Time Series Outage Counting feature for the AntaresSimulatorTeam/AntaREST repository, focusing on enhancing the accuracy and granularity of thermal time series data. Leveraging Python for backend and API development, the work introduced logic to count both forced and planned outages during time series generation. This addition improved the detail available for reliability analytics and outage modeling in energy systems, supporting more informed grid operations and planning. The implementation emphasized robust data processing and thorough testing to ensure correctness and maintainability, ultimately enabling users to generate more precise and actionable time series data for energy system analysis.