Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows-Reference-Cited by-同舟云学术

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows

Author:

Arpogaus Marcel¹^ORCID,Voss Marcus²^ORCID,Sick Beate³,Nigge-Uricher Mark⁴,Dürr Oliver⁵^ORCID

Affiliation:

1. Faculty of Electrical Engineering and Information Technology, HTWG Konstanz–University of Applied Sciences, Konstanz, Germany

2. Faculty IV–Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany

3. EBPI, University of Zurich, Zürich, Switzerland

4. Department ENE (Energy), Bosch.IO GmbH, Berlin, Germany

5. Faculty of Computer Science, HTWG Konstanz–University of Applied Sciences, Konstanz, Germany

Funder

Federal Ministry for the Environment, Nature Conservation and Nuclear Safety due to a decision of the German Federal Parliament

Federal Ministry for Economic Affairs and Energy (BMWi) within the Program SINTEG as part of the Showcase Region WindNODE

Federal Ministry of Education and Research of Germany (BMBF) in the Project DeepDoubt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

Reference66 articles.

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4. Data-driven load profiles and the dynamics of residential electric power consumption;anvari;arXiv 2009 09287,2020

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