Power Consumption Predicting and Anomaly Detection Based on Long Short-Term Memory Neural Network-Reference-Cited by-同舟云学术

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Power Consumption Predicting and Anomaly Detection Based on Long Short-Term Memory Neural Network

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
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Author:

Wang Xiaohui,Zhao Ting,Liu He,He Rong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8717973/8725611/08725704.pdf?arnumber=8725704

Cited by 53 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

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4. Highly fluctuating short-term load forecasting based on improved secondary decomposition and optimized VMD;Sustainable Energy, Grids and Networks;2024-03

5. Scalable Light-weight Anomaly Detection for Data of Individual Smart Meters;2024 4th International Conference on Smart Grid and Renewable Energy (SGRE);2024-01-08

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