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

Published: 8 October 2024| Version 1 | DOI: 10.17632/5ygfynng4z.1
Contributor:
Martin Hafemann

Description

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.

Files

Institutions

Hochschule fur Technik Wirtschaft und Kultur Leipzig

Categories

Energy Demand, Demand Forecasting

Funding

Bundesministerium für Wirtschaft und Klimaschutz

03EN3035D

Licence