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Development of A Machine-Learning-Based Correction for Cloud-Camera-Based Solar Radiation Measurement

Broda, Rafal (2022) Development of A Machine-Learning-Based Correction for Cloud-Camera-Based Solar Radiation Measurement. Master's, RWTH Aachen.

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Item URL in elib:https://elib.dlr.de/189139/
Document Type:Thesis (Master's)
Title:Development of A Machine-Learning-Based Correction for Cloud-Camera-Based Solar Radiation Measurement
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Broda, RafalUNSPECIFIEDhttps://orcid.org/0009-0000-2378-1776UNSPECIFIED
Date:4 November 2022
Refereed publication:No
Open Access:No
Number of Pages:112
Status:Published
Keywords:Machine Learning, all-sky imager, irradiance measurement, pyranometer, deep learning, diffuse irradiance, direct irradiance
Institution:RWTH Aachen
Department:Lehrstuhl für Solartechnik
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:High-Temperature Thermal Technologies
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Condition Monitoring
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualification
Deposited By: Blum, Niklas
Deposited On:04 Nov 2022 11:24
Last Modified:31 Mar 2023 12:08

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