I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Field Investigation of Solar Photovoltaic Modules Digressio..:
, In:
2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)
,
Sameer, K A V
;
Haritha, K
;
Ramchander, N
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICICCSP53532.2022.9862482
RT T1
2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)
: T1
Field Investigation of Solar Photovoltaic Modules Digression Against Manufacture's Claim and Application of Machine Learning Model in Life Prediction: A Case Study
UL https://suche.suub.uni-bremen.de/peid=ieee-9862482&Exemplar=1&LAN=DE A1 Sameer, K A V A1 Haritha, K A1 Ramchander, N A1 Reddy, B Koti A1 Rayudu, K A1 Reddy, K Rajkumar YR 2022 K1 Photovoltaic systems K1 Renewable energy sources K1 Wind K1 Machine learning K1 Aging K1 Predictive models K1 Regression analysis K1 PV Module K1 shelf-life K1 digression K1 linear regression K1 machine learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICICCSP53532.2022.9862482 DO https://doi.org/10.1109/ICICCSP53532.2022.9862482 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)