The assumption of a constant leadtime between a forecast variable and a leading indicator is difficult to support in a number of forecasting contexts, especially in relationships between economic ...

This repository contains a machine learning project aimed at forecasting energy consumption in the steel industry. The complete project is available in the Jupyter notebook titled ...

Abstract: Regression is an often used, general means of time series forecasting. Flow field (FF) forecasting formalizes this approach, explicitly emphasizing both the chosen form of regression and the ...

Multivariate Time Series Forecasting involves predicting future values of multiple time-dependent variables using historical data. Unlike univariate time series forecasting, which predicts a single ...