A Novel Data Segmentation Method for Data-driven Phase Identification
Author:
Affiliation:
1. North Carolina State University,Dept. of Electrical and Computer Engineering,Raleigh,NC,USA,27606
2. ElectriCities of North Carolina Inc.,Raleigh,NC,USA,27604
3. New River Light and Power (NRLP),Boone,NC,USA,28607
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9916588/9916589/09916891.pdf?arnumber=9916891
Cited by 5 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 Novel Power-Band Based Data Segmentation Method for Enhancing Meter Phase and Transformer-Meter Pairing Identification;IEEE Transactions on Power Delivery;2024-08
2. Customer-Phase Identification in Low-Voltage Distribution Networks Prone to Data Losses Using Machine Learning-based Algorithms;2023 24th International Middle East Power System Conference (MEPCON);2023-12-19
3. Low-Power Mixed-Signal System for Processing Electric Network Frequency in IoT Devices;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06
4. Phase Identification Method of Low-voltage Distribution Based on Integrated Similarity and Secondary Clustering;2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP);2023-05-19
5. Phase Identification in Power Distribution Systems via Feature Engineering;IEEE Access;2023
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