Parameter extraction of solar photovoltaic modules using penalty-based differential evolution
By Kashif Ishaque, Zainal Salam, Saad Mekhilef, Amir Shamsudin. 2012
344 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/bb89e4e6cc76ab00ab7bdec6d3dc179a41090ce8
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In Artificial Intelligence
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm (2013, methodology): “However, GA requires a much longer time to determine the parameters [18].”
- 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…”