Topic:"Energy Management Information Systems" in M12786

METHODOLOGY • The report assigns the temperature and wind data based on the highest observed speeds that occurred during the event. • Full accounting of hourly weather data is provided as an appendix for the eight representative stations u...

AI summary The methodology outlines using weather data from eight representative stations to assess outage impacts, defining unique and total customer impacts, and explaining the rationale for selecting stations to ensure accurate analysis of storm event effects.

acts for all Level 3 and Level 4 events over the reporting period, along with analysis and commentary on whether errors suggest any directional bias, and the results of the annual calibration process. NS Power asserts that this is not warr...

AI summary NS Power argues against additional reporting on storm forecasting errors, citing existing reports and an AI-driven storm prediction project. The CA and IG recommended formal definitions for storm readiness and response, which NS Power agreed to adopt. The IG also requested reporting on pre-impact deployment costs, which NS Power confirmed are not incremental.

4 July 2025? 25 26 Request IR-7: 27 On pdf pg. 14 of the report NS Power notes it is planning to implement a software platform in 28 2026 to further monitor and control contractor costs. NS Power notes that the commercially 29 available so...

AI summary NS Power plans to implement a software platform in 2026 to monitor contractor costs and predict high-impact weather effects. Questions are raised about testing the software, consulting other utilities, and current forecasting methods. The focus is on improving storm impact prediction reliability and cost management.