Verfahren zur Vorhersage des Energiebedarfs, Datenverarbeitungssystem und Anlage für Erneuerbare Energie mit einem Speicher

Details

Veröffentlichungs-Nr.

EP3640869

Aktenzeichen

EP18200992

Anmeldetag

17. Oktober 2018

Veröffentlichung

22. April 2020

Rechtsraum

EP

IPC

G06Q10/06G06Q50/06

Abstract

In order to provide a reliable method for predicting an energy demand for operating a renewable power plant with a storage with improved accuracy, a method is proposed that comprises:- generating a set of forecasted variables (102) based on at least one set of uncertainty-based variables (108) by using an optimization algorithm (107); and- uncertainty post-processing (105) of the set of forecasted variables (102) using machine learning techniques (104), wherein the machine learning techniques (104) are performed by a machine learning device (120) that makes use of historical data (123) relating to at least one energy demand according to a perfect forecast (148) in the past.

Anmelder

Firma

Deutsches Zentrum für Luft- und Raumfahrt e.V.

Land

🇩🇪 Deutschland

Fachgebiete