A physics-informed knowledge distillation model with spatial–temporal attention for energy consumption pre-assessment in sustainable additive manufacturing-Reference-Cited by-同舟云学术

A physics-informed knowledge distillation model with spatial–temporal attention for energy consumption pre-assessment in sustainable additive manufacturing

Published:2023-12 Issue: Volume:60 Page:103537
ISSN:2213-1388
Container-title:Sustainable Energy Technologies and Assessments
language:en
Short-container-title:Sustainable Energy Technologies and Assessments

Author:

Wang Kang^ORCID,Fang Naiyu^ORCID,Huang Zhihao,Xu Jinghua,Zhang Shuyou,Qin Jing^ORCID

Funder

Innovation and Technology Fund

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference44 articles.

1. Towards low-budget energy efficiency design in additive manufacturing based on variational scale-aware transformer;Wang;J Clean Prod,2023

2. Deep pattern matching for energy consumption prediction of complex structures in ecological additive manufacturing;Wang;IEEE Trans Ind Inf,2023

3. Techno-economic-environmental impacts of industrial energy assessment: Sustainable industrial motor systems of small and medium-sized enterprises;Errigo;Sustain Energy Technol Assess,2022

4. International energy agency;Ibrahim,2021

5. Additive manufacturing energy consumption measurement and prediction in fabricating lattice structure based on recallable multimodal fusion network;Wang;Measurement,2022

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