Anomaly Detection Method of Distribution Network Line Loss Based on Hybrid Clustering and LSTM
Author:
Funder
project of science and technology of sgcc
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-021-00958-4.pdf
Reference23 articles.
1. Kim JY, Hwang YM, Sun YG, Sim I, Kim DI, Wang X (2019) Detection for non-technical loss by smart energy theft with intermediate monitor meter in smart grid. IEEE Access 7:129043–129053. https://doi.org/10.1109/ACCESS.2019.2940443
2. Huang C, Huang Q, Wang D (2020) Stochastic configuration networks based adaptive storage replica management for power big data processing. IEEE Trans Industr Inf 16(1):373–383. https://doi.org/10.1109/TII.2019.2919268
3. He X, Ai Q, Qiu RC, Huang W, Piao L, Liu H (2017) A big data architecture design for smart grids based on random matrix theory. IEEE Transactions on Smart Grid 8(2):674–686. https://doi.org/10.1109/TSG.2015.2445828
4. Wang S, Zhou K, Su Y (2017) Line loss rate estimation method of transformer district based on random forest algorithm. Electric Power Automation Equipment 37(11):39–45. https://doi.org/10.16081/j.issn.1006-6047.2017.11.007
5. Yao M, Zhu Y, Li J et al (2019) Research on predicting line loss rate in low voltage distribution network based on gradient boosting decision tree. Energies 12(13):2522–2019
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1. Distribution network line loss analysis method based on improved clustering algorithm and isolated forest algorithm;Scientific Reports;2024-08-22
2. High-percentage new energy distribution network line loss frequency division prediction based on wavelet transform and BIGRU-LSTM;PLOS ONE;2024-08-19
3. Abnormal line loss identification and category classification of distribution networks based on semi-supervised learning and hierarchical classification;Frontiers in Energy Research;2024-03-20
4. A power line loss analysis method based on boost clustering;The Journal of Supercomputing;2022-09-01
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