A new estimation approach for determining the I–V characteristics of solar cells
By M. Alrashidi, Mohamad F. AlHajri, K. El-Naggar, A. K. Al-Othman. 2011
302 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/3184a3553da4c13c47871259fac3db01ab5e2fe5
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In Electrical and Electronic Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- A parameter extraction technique exploiting intrinsic properties of solar cells (2016, unknown): “…from the dataset as follows: V OC ¼ 0 : 5727 V, I SC ¼ 0 : 7605 A, V M ¼ 0 : 45 V and I M ¼ 0 : 69 A. Table 3 shows the extracted parameters, calculated by the proposed method and by eight reference techniques: LMSA [25], CPSO [21], SA [23], PS [18], BMO [20], ABSO [22], GA [17], and Newton [12].”
- Parameter extraction of solar cell models using repaired adaptive differential evolution (2013, methodology): “Although the RMSE values of ABSO and IGHS are very close to that of Rcr-IJADE, however, since the experimental data is adopted, no information is available about the accurate values of the parameters; therefore, any reduction in the objective function value is significant because it results in impro”
- A Method for the Analytical Extraction of the Single-Diode PV Model Parameters (2016, methodology): “Other works that adopt a double-diode model [15], [21], [27], [32], [35], resort to more complicated methods to determine the seven parameters of the model, without any substantial gain in accuracy.”