Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation

Research article (Journal of Energy Storage, 2023) · cited 76× · AI/ML
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Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation

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Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-augmentation-and-machine-learning-based-modeling-of-wavy-corrugated-solar-air-collector-embedded-with-therma
MLA “Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-augmentation-and-machine-learning-based-modeling-of-wavy-corrugated-solar-air-collector-embedded-with-therma.
BibTeX @misc{4ortxyz_performance-augmentation-and-machine-learning-based-modeling-of-wavy-corrugated-solar-air-collector-embedded-with-therma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation}}, year = {2026}, url = {https://4ort.xyz/entity/performance-augmentation-and-machine-learning-based-modeling-of-wavy-corrugated-solar-air-collector-embedded-with-therma}, note = {Accessed: 2026-05-24}}
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