Parameter identification for solar cell models using harmony search-based algorithms
By Alireza Askarzadeh, Alireza Rezazadeh. 2012
492 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/aaea376bd7a3c6faa6c96f4cb8378c5799b0a550
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
- Zhihua Cai
- Wenyin Gong
- Richard Binns
- Derick Mathew
- C. Rani
- Yue Wang
- Krishna K. Busawon
- M. Rajesh Kumar
In Electrical and Electronic Engineering
- Richard Binns
- Zhihua Cai
- Derick Mathew
- Wenyin Gong
- C. Rani
- Yue Wang
- Krishna K. Busawon
- M. Rajesh Kumar
In Renewable Energy, Sustainability and the Environment
- Richard Binns
- Zhihua Cai
- Derick Mathew
- Wenyin Gong
- C. Rani
- Yue Wang
- Krishna K. Busawon
- M. Rajesh Kumar
Citations in the corpus
- Wind-Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters (2018, methodology): “In the recent years, different optimization techniques have been introduced to estimate the parameters of solar PV, namely the genetic algorithm [8], pattern search optimization [9], artificial immune system [10], bacterial foraging algorithm [11], simulated annealing [12], harmony search algorithm ”
- Parameter extraction of solar cell models using repaired adaptive differential evolution (2013, background): “Item PS [7] SA [27] IGHS [28] ABSO [1] Rcr-IJADE Iph (A) 0.”