Innovative load identification with Res-UNet: Integrating phase space reconstruction and physics-informed deep learning

Author:

Xin Su,Yi Huang,Lei Zhou,Ziguang JiaORCID,Qi ZhangORCID

Publisher

Elsevier BV

Reference35 articles.

1. Hybrid CNN-LSTM model for short-term individual household load forecasting;Alhussein;IEEE Access,2020

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3. Phase space reconstruction based real time fatigue crack growth estimation for structural health monitoring ships;Bhange;High Perform. Dev. IEEE Cornell Conf.,2022

4. Classifying power quality disturbances based on phase space reconstruction and a convolutional neural network;Cai;Appl. Sci.,2019

5. A deep learning based non-intrusive household load identification for smart grid in China;Chen;Comput. Commun.,2021

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