Optimal extraction of solar cell parameters using pattern search

By Mohamad F. AlHajri, K. El-Naggar, M. Alrashidi, A. K. Al-Othman. 2012

374 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/5aab2c42925eeb764e41c73a000e5135e303f364

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zhihua Cai
2. Wenyin Gong
3. Xin-She Yang

In Renewable Energy, Sustainability and the Environment

1. Zhihua Cai
2. Wenyin Gong

Citations in the corpus

• A parameter extraction technique exploiting intrinsic properties of solar cells (2016, neutral): “…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].”