INVESTIGACIÓN Y TECNOLOGÍA ELÉCTRICA
Moscow Power Engineering Institute
Moscú, RusiaPublicaciones en colaboración con investigadores/as de Moscow Power Engineering Institute (3)
2021
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A modified farmland fertility optimizer for parameters estimation of fuel cell models
Neural Computing and Applications, Vol. 33, Núm. 18, pp. 12169-12190
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Developing the coyote optimization algorithm for extracting parameters of proton-exchange membrane fuel cell models
Electrical Engineering, Vol. 103, Núm. 1, pp. 563-577
2020
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Parameter identification of proton exchange membrane fuel cells using an improved salp swarm algorithm
Energy Conversion and Management, Vol. 224