| Name : R-ddiv
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:02:06
|
| Group : Development/Libraries/Other
| Source RPM : R-ddiv-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.58 MB
| |
| Packager : (none)
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| Summary : Data Driven I-v Feature Extraction
|
Description :
The Data Driven I-V Feature Extraction is used to extract
Current-Voltage (I-V) features from I-V curves. I-V curves indicate the
relationship between current and voltage for a solar cell or
Photovoltaic (PV) modules. The I-V features such as maximum power point
(Pmp), shunt resistance (Rsh), series resistance (Rs),short circuit
current (Isc), open circuit voltage (Voc), fill factor (FF), current at
maximum power (Imp) and voltage at maximum power(Vmp) contain important
information of the performance for PV modules. The traditional method
uses the single diode model to model I-V curves and extract I-V
features. This package does not use the diode model, but uses
data-driven a method which select different linear parts of the I-V
curves to extract I-V features. This method also uses a sampling method
to calculate uncertainties when extracting I-V features. Also, because
of the partially shaded array, \"steps\" occurs in I-V curves. The
\"Segmented Regression\" method is used to identify steps in I-V curves.
This material is based upon work supported by the U.S. Department of
Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under
Solar Energy Technologies Office (SETO) Agreement Number DE-EE0007140.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
