Causal Inference in Energy Demand Prediction
TL;DR Structural causal models outperform traditional energy forecasts by revealing critical interdependencies correlation-based approaches fail to capture.
Research#
A Benchmark of Causal vs Correlation AI for Predictive Maintenance
TL;DR Causal AI achieved $49,500 annual economic advantage over best ML baseline with 93.9% recall through explicit modeling of failure mechanisms rather than relying on statistical correlations