Name: Regression-based electricity load profiles of 32 industrial and commercial subsectors in Germany
Keywords: Long term electric load forecasting, Standard load profiles, Industrial and commercial loads, Multiple Regression analysis, Subsector load profiles

descriptionPublicationkeyboard_double_arrow_right Preprint , Other literature type 04 Mar 2021 English Publisher:Zenodo

Authors: Seim, Stephan; Ruedt, Daniel; Wu, Qi; Held, Maike; Verwiebe, Paul; Mueller-Kirchenbauer, Joachim;

doi: 10.5281/zenodo.4576494 , 10.5281/zenodo.4576493

Regression-based electricity load profiles of 32 industrial and commercial subsectors in Germany

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Abstract

This dataset holds the subsector specific electricity load profiles (German: Branchenlastprofile) of 32 industrial and commercial subsectors in Germany. As a result of the research project DemandRegio, the subsector load profiles are derived from a large number of metered load data using a multiple regression method. The validation of subsector load profiles can be demonstrated within the modelling tool “disaggregator” on GitHub, a Python implementation of the overall results of the research project DemandRegio. Using subsector load profiles in the disaggregator-tool, the accuracy of the model was significantly improved in comparison to the utilization of standard load profiles.

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Keywords

Long term electric load forecasting, Standard load profiles, Industrial and commercial loads, Multiple Regression analysis, Subsector load profiles

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