Feature Extraction for Load Identification Using Long-Term Operating Waveforms-Reference-Cited by-同舟云学术

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Feature Extraction for Load Identification Using Long-Term Operating Waveforms

Published:2015-03 Issue:2 Volume:6 Page:819-826
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Du Liang,Yang Yi,He Dawei,Harley Ronald G.,Habetler Thomas G.

Funder

U.S. Department of Energy National Energy Technology Laboratory

Eaton Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://ieeexplore.ieee.org/ielaam/5165411/7042857/6982196-aam.pdf

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Review of Behind-the-Meter Distributed Energy Resources Load Forecasting: Models, Challenges, and Emerging Technologies;Energies;2024-05-24

2. Research on Non-Intrusive Load Feature Extraction and Load Recognition;2023 10th International Forum on Electrical Engineering and Automation (IFEEA);2023-11-03

3. Method for Implementing Load Recognition Algorithm for Internet of Things Terminals Based on Distributed Storage;2023 4th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM);2023-05-26

4. An LSTM-SAE-Based Behind-the-Meter Load Forecasting Method;IEEE Access;2023

5. Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

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