34 citations · 37 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning
Jiaxin Gao, Wenbo Hu, Dongxiao Zhang +1
Electrical energy is essential in today's society. Accurate electrical load forecasting is beneficial for better scheduling of electricity generation and saving electrical energy.…
cs.LG2022★ 1 cited
AutoKE: An automatic knowledge embedding framework for scientific machine learning
Mengge Du, Yuntian Chen, Dongxiao Zhang
Imposing physical constraints on neural networks as a method of knowledge embedding has achieved great progress in solving physical problems described by governing equations. Howev…
cs.AI2022★ 34 cited
Integration of knowledge and data in machine learning
Yuntian Chen, Dongxiao Zhang
Scientific research's mandate is to comprehend and explore the world, as well as to improve it based on experience and knowledge. Knowledge embedding and knowledge discovery are tw…