Opposition-Based Tunicate Swarm Algorithm for Parameter Optimization of Solar Cells

Opposition-Based Tunicate Swarm Algorithm for Parameter Optimization of Solar Cells

Parameter estimation of photovoltaic modules is an essential step to observe, analyze, and optimize the performance of solar power systems. An efficient optimization approach is needed to obtain the finest value of unknown parameters. Herewith, this article proposes a novel opposition-based tunicate...

Full description

Bibliographic Details
Main Authors: Abhishek Sharma, Abhinav Sharma, Ankit Dasgotra, Vibhu Jately, Mangey Ram, Shailendra Rajput, Moshe Averbukh, Brian Azzopardi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
parameter extraction
photovoltaic cells
metaheuristics
tunicate swarm algorithm
opposition-based learning
Online Access:https://ieeexplore.ieee.org/document/9530532/

Internet

https://ieeexplore.ieee.org/document/9530532/

Similar Items