Yasmine Benali

Lead Data Scientist

Hydro-Québec

Speaks on Day 2

Machine learningEnergyPredictionSmart grids

Biography

Yasmine Benali is Lead Data Scientist at Hydro-Québec, where she develops geospatial predictive models for power grid optimization and outage forecasting. Her anomaly detection algorithms integrate satellite, meteorological and topographic data to anticipate risks across Hydro-Québec's 34,000 km of lines. She is the 2024 NRC Women in STEM Award winner.

Sessions

ConferenceDay 2 · 13:30

Geospatial Prediction for Power Grid Resilience

📍 Maisonneuve Room

Topics

Machine learningEnergyPredictionSmart grids

Organization

Hydro-Québec

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