Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Stephanie Malik
Observed name:
Malik, Stephanie
Institution:
Fraunhofer Institute for Microstructure of Materials and Systems
Observed institutions:
Fraunhofer Institute for Microstructure of Materials and Systems,
Fraunhofer Center for Silicon Photovoltaics
ORCID:
0009-0005-5150-7017
Observed ORCID:
0009-0005-5150-7017
OpenAlex ID:
A5048734906
Assessing the long-term stability of laser enhanced contact optimization (LECO) treated PERC cells in PV modules by extended indoor and outdoor durability tests
2023
·
Eve Krassowski
, Bengt Jaeckel
, et al.
·
EPJ Photovoltaics
·
10
PDF
Innovative Approach for Yield Evaluation of PV Systems Utilizing Machine Learning Methods
2019
·
David Dassler
, Stephanie Malik
, et al.
·
Conference record of the IEEE Photovoltaic Specialists Conference
·
5
A comprehensive framework for accurate estimation of performance loss rates in large photovoltaic systems using machine learning
2026
·
Kak-Pong Cheung
, Stephanie Malik
, et al.
·
EPJ Photovoltaics
·
1
PDF
Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems
2025
·
Stephanie Malik
, David Daßler
, et al.
·
EPJ Photovoltaics
·
1
Training and Evaluation for Yield-Driven Detection of Losses in PV Systems Utilizing Artificial Neural Networks
2020
·
David Dassler
, Shreyas Bangalore Kuppanna
, et al.
·
Conference record of the IEEE Photovoltaic Specialists Conference
·
1
Robustere PV-Systeme und Betriebsführung durch die Analyse von Stromrichterausfällen aus zwei Perspektiven - Ursache und Wirkung (robStROM)
2026
·
Ebert, Matthias
, Malik, Stephanie
, et al.
·
RENATE
A comprehensive framework for accurate estimation of performance loss rates in large photovoltaic systems using machine learning
2026
·
Cheung, Kak-Pong
, Malik, Stephanie
, et al.
·
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Show more works
View as search
Works count:
9
Citation count:
18
H-index:
2
I10-index:
1
Year
Topic
Type