Research on non-intrusive load identification based on VMD-LSTM

Author:

Hou Baoyu1ORCID,Luo Dan1ORCID,Zhang Jiajun2ORCID,Ren Bin2ORCID,Wang Jie2ORCID,Mao Zhixiang2ORCID

Affiliation:

1. State Grid Zhejiang Electric Power Co., Ltd. Quzhou Power Supply Company, China

2. State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China

Publisher

ACM

Reference10 articles.

1. Research and Engineering Application of Non-intrusive Load Dynamic ldentification Method;Ournal of Electrical Engineering,2023

2. Load monitoring technology of smart electricity meters based on time series classification task;Li J D;Electrical Measurement & Instrumentation,2023

3. Precioso D and Gómez U D 2023. Thresholding methods in non-intrusive load monitoring.The Journal of Supercomputing 79:14039-14062.

4. . Non-lntrusive Load Decomposition Techniques Based on LSTM and Sequence-to-Point Models;Qian Y J;Chinese Journal of Electron Devices,2023

5. Non-intrusive Load ldentification Algorithm Based on Feature Fusion and Deep Learning;Wang S X;Automation of Electric Power Systems,2020

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