Scholarly publication
A Pipeline for Multivariate Time Series Forecasting of Gas Consumption in Pelletization Process
Overview
This paper investigates a pipeline for forecasting gas consumption in industrial iron ore pelletization. The method combines data preprocessing, sliding windows, feature selection, and machine learning models tuned with AutoML, using time series of operating parameters collected from an industrial plant.