Iris D. Tommelein

Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches

Abstract The persistent volatility of construction material prices poses significant risks to cost estimation, budgeting, and project delivery, underscoring the urgent need for granular and scalable forecasting methods. This study develops a forecasting framework that leverages t...