Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization

Research article (Thermal Science and Engineering Progress, 2024) · cited 13× · AI/ML
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Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization

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Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-the-thermal-performance-of-phase-change-materials-in-building-applications-using-deep-reinforcement-learning-
MLA “Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-the-thermal-performance-of-phase-change-materials-in-building-applications-using-deep-reinforcement-learning-.
BibTeX @misc{4ortxyz_optimizing-the-thermal-performance-of-phase-change-materials-in-building-applications-using-deep-reinforcement-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-the-thermal-performance-of-phase-change-materials-in-building-applications-using-deep-reinforcement-learning-}, note = {Accessed: 2026-05-24}}
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