Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems

Research article (International Journal of Hydrogen Energy, 2020) · cited 22× · AI/ML
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Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems

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Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/genetic-fuzzy-rule-extraction-for-optimised-sizing-and-control-of-hybrid-renewable-energy-hydrogen-systems
MLA “Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/genetic-fuzzy-rule-extraction-for-optimised-sizing-and-control-of-hybrid-renewable-energy-hydrogen-systems.
BibTeX @misc{4ortxyz_genetic-fuzzy-rule-extraction-for-optimised-sizing-and-control-of-hybrid-renewable-energy-hydrogen-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems}}, year = {2026}, url = {https://4ort.xyz/entity/genetic-fuzzy-rule-extraction-for-optimised-sizing-and-control-of-hybrid-renewable-energy-hydrogen-systems}, note = {Accessed: 2026-05-24}}
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