Data for the regression of synthetic load profiles for heat demand forecasting

This repository contains datasets and results related to a heat demand forecasting method based on synthetic load profiles generated from regression analysis. These load profiles represent heat demand as a function of the so called allocation temperature. These datasets include the training and validation data, that was used to generate and verify the synthetic heat demand profile, as well as calculated hourly correction factors for temporal allocation.