Deep neural networks for quick and precise geometry optimization of segmented thermoelectric generators
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DOI: 10.1016/j.energy.2022.125889
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- Yusuf, Aminu & Garcia, Davide Astiaso, 2023. "Energy, exergy, economic, and environmental (4E) analyses of bifacial concentrated thermoelectric-photovoltaic systems," Energy, Elsevier, vol. 282(C).
- Xuan, Zhiwei & Ge, Minghui & Zhao, Chenyang & Li, Yanzhe & Wang, Shixue & Zhao, Yulong, 2024. "Effect of nonuniform solar radiation on the performance of solar thermoelectric generators," Energy, Elsevier, vol. 290(C).
- Wen, Xin & Ji, Jie & Li, Zhaomeng & Yao, Tingting, 2023. "Proposing of a novel PV/T module in series with a ST+TE module to pursue a round-the-clock continuous energy output," Energy, Elsevier, vol. 285(C).
- Wen, Xin & Ji, Jie & Li, Zhaomeng & Song, Zhiying, 2023. "Performance assessment of the hybrid PV-MCHP-TE system integrated with PCM in all-day operation: A preliminary numerical investigation," Energy, Elsevier, vol. 278(PA).
- Wang, Z.H. & Ma, Y.J. & Tang, G.H. & Zhang, Hu & Ji, F. & Sheng, Q., 2023. "Integration of thermal insulation and thermoelectric conversion embedded with phase change materials," Energy, Elsevier, vol. 278(C).
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Keywords
Segmented thermoelectric generator; Solar energy; Deep neural networks; Geometry optimization; Thermo-mechanical analysis; Finite element method;All these keywords.
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