Self-adaptive henry gas solubility optimizer for identification of solid oxide fuel cell
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09517-w.pdf
Reference51 articles.
1. Abaza A, Sehiemy RAE, Bayoumi ASA (2020) Optimal parameter estimation of solid oxide fuel cell model using coyote optimization algorithm. In: Farouk MH, Hassanein MA (eds) Recent advances in engineering mathematics and physics. Springer, pp 135–149
2. Ba S, Xia D, Gibbons EM (2020) Model identification and strategy application for solid oxide fuel cell using rotor Hopfield neural network based on a novel optimization method. Int J Hydrogen Energy 45(51):27694–27704
3. Badur J et al (2018) Zero-dimensional robust model of an SOFC with internal reforming for hybrid energy cycles. Energy 158:128–138
4. Bai Q, Li H (2022) The application of hybrid cuckoo search-grey wolf optimization algorithm in optimal parameters identification of solid oxide fuel cell. Int J Hydrogen Energy 47(9):6200–6216
5. Bo G et al (2022) Optimum structure of a combined wind/photovoltaic/fuel cell-based on amended Dragon Fly optimization algorithm: a case study. Energy Sources Part A Recov Util Environ Effects 44(3):7109–7131
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