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
Comparative Study of ANN and Incremental Conductance MPPT f..:
, In:
2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)
,
Bharti, Kanchan
;
Singh, Sarvendra Kumar
;
Kant Jha, Shyama
- p. 296-301 , 2023
Link:
https://doi.org/10.1109/REEDCON57544.2023.10150761
RT T1
2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)
: T1
Comparative Study of ANN and Incremental Conductance MPPT for Solar Water Pump
UL https://suche.suub.uni-bremen.de/peid=ieee-10150761&Exemplar=1&LAN=DE A1 Bharti, Kanchan A1 Singh, Sarvendra Kumar A1 Kant Jha, Shyama YR 2023 K1 Maximum power point trackers K1 Temperature measurement K1 Radiation effects K1 Power measurement K1 Artificial neural networks K1 Water pumps K1 Software K1 Solar PV Array K1 Boost Converter K1 MPPT K1 Incremental conductance K1 Artificial Neural Network SP 296 OP 301 LK http://dx.doi.org/https://doi.org/10.1109/REEDCON57544.2023.10150761 DO https://doi.org/10.1109/REEDCON57544.2023.10150761 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)