Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models

Research article (Applied Energy, 2023) · cited 23× · AI/ML
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Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models

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Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-parameter-estimation-of-the-alkaline-electrolysis-system-combining-bayesian-inference-and-adaptive-polynomial-su
MLA “Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-parameter-estimation-of-the-alkaline-electrolysis-system-combining-bayesian-inference-and-adaptive-polynomial-su.
BibTeX @misc{4ortxyz_dynamic-parameter-estimation-of-the-alkaline-electrolysis-system-combining-bayesian-inference-and-adaptive-polynomial-su_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-parameter-estimation-of-the-alkaline-electrolysis-system-combining-bayesian-inference-and-adaptive-polynomial-su}, note = {Accessed: 2026-05-24}}
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