most citedNon-intrusive load decomposition based on CNN-LSTM hybrid deep learning model

92 citations · 92 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach

Xinxin Zhou, Jingru Feng, Jian Wang +1

Load forecasting is very essential in the analysis and grid planning of power systems. For this reason, we first propose a household load forecasting method based on federated deep…

eess.SP2021★ 92 cited

Non-intrusive load decomposition based on CNN-LSTM hybrid deep learning model

Xinxin Zhou, Jingru Feng, Yang Li

With the rapid development of science and technology, the problem of energy load monitoring and decomposition of electrical equipment has been receiving widespread attention from a…