Data-driven mean-variability optimization of PV portfolios with automatic differentiation

Zech, Matthias and von Bremen, Lueder (2023) Data-driven mean-variability optimization of PV portfolios with automatic differentiation. In: International Conference on Learning Representations, ICLR 2023. ICLR 2023, tackling climate change with machine learning, 2023-05-04, Kigali, Ruanda.

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Item URL in elib:

https://elib.dlr.de/199916/

Document Type:

Conference or Workshop Item (Poster)

Title:

Data-driven mean-variability optimization of PV portfolios with automatic differentiation

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Zech, Matthias	UNSPECIFIED	https://orcid.org/0000-0003-4420-5238	UNSPECIFIED
von Bremen, Lueder	UNSPECIFIED	https://orcid.org/0000-0002-7072-0738	UNSPECIFIED

Date:

2023

Journal or Publication Title:

International Conference on Learning Representations, ICLR 2023

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Machine Learning, variability, PV

Event Title:

ICLR 2023, tackling climate change with machine learning

Event Location:

Kigali, Ruanda

Event Type:

international Conference

Event Date:

4 May 2023

HGF - Research field:

Energy

HGF - Program:

Energy System Design

HGF - Program Themes:

Energy System Transformation

DLR - Research area:

Energy

DLR - Program:

E SY - Energy System Technology and Analysis

DLR - Research theme (Project):

E - Systems Analysis and Technology Assessment

Location:

Oldenburg

Institutes and Institutions:

Institute of Networked Energy Systems > Energy Systems Analysis, OL

Deposited By:

Zech, Matthias

Deposited On:

29 Nov 2023 11:55

Last Modified:

11 Jul 2024 14:22

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