DNN-for-Stochastic-Commodity-Price-Forecasting-under-Model-Uncertainty-Cost-Reduction

Deep Neural Networks for Stochastic Commodity Price Forecasting under Model Uncertainty: Applications to Industrial Cost Reduction

Implements a CNN-LSTM model with Monte Carlo dropout for probabilistic commodity price forecasting, aimed at supporting cost optimization strategies in industrial sectors.

WORK IN PROGRESS!