Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm

By Lian Lian Jiang, Douglas Leslie Maskell, Jagdish Chandra Patra. 2013

284 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f71f8ee2bc03560201e665e869c19caa3509b5b0

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Utkarsh Jadli
2. R. Shukla
3. Padmanabh Thakur

In Renewable Energy, Sustainability and the Environment

1. Utkarsh Jadli
2. R. Shukla
3. Padmanabh Thakur

Citations in the corpus

• A parameter extraction technique exploiting intrinsic properties of solar cells (2016, unknown): “With the datasets, computation techniques such as least squares [13,14], Differential Evolution (DE) [15], a modification of DE technique (P-DE) [16], Genetic Algorithm (GA) [17], Pattern Search (PS) [18], Teaching–Learning [19], Bird Mating Optimizer (BMO) [20], Chaos Particle Swarm Algorithm…”
• A New Parameter Estimation Method of Solar Photovoltaic (2018, methodology): “Additionally, in order to resolve the issues, as existing in numerical and analytical methods, several metaheuristic algorithms (MAs)-based approaches, such as, genetic algorithm [12], particle swarm algorithm [13], [14], simulated annealing (SA) algorithm [15], differential evolution algorithm [16]”