Machine Learning for Predictive Cost and Schedule Risk Mitigation in Inter-State Transmission Line Buildouts
Inter-state transmission projects in the United States routinely exceed their approved schedules and budgets, and the point of maximum financial exposure, sanction, when capital is irreversibly committed, is typically reached before the largest sources of delay are quantified. This paper proposes a machine-learning fra...