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Understanding the relationship between clouds and surface downward radiation forecast errors with Unsupervised Deep Learning

Zech, Matthias and von Bremen, Lüder (2021) Understanding the relationship between clouds and surface downward radiation forecast errors with Unsupervised Deep Learning. EMS 2021, Virtual.

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Item URL in elib:https://elib.dlr.de/147633/
Document Type:Conference or Workshop Item (Speech)
Title:Understanding the relationship between clouds and surface downward radiation forecast errors with Unsupervised Deep Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Zech, MatthiasMatthias.Zech (at) dlr.dehttps://orcid.org/0000-0003-4420-5238
von Bremen, Lüderlueder.von.bremen (at) dlr.deUNSPECIFIED
Date:20 December 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Unsupervised Deep Learning, cloud classes, forecast errors
Event Title:EMS 2021
Event Location:Virtual
Event Type:international Conference
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:20 Dec 2021 18:33
Last Modified:20 Dec 2021 18:33

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