A Methodology for Infilling Missing Data in Smart Power Grids Based on Correlation Analysis
Author:
Affiliation:
1. Industrial center, Nanjing Institute of Technology,Nanjing,Jiangsu,China
2. Nanjing Institute of Technology,Nanjing,Jiangsu,China
3. Suzhou Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd.,Suzhou,Jiangsu,China
Funder
State Grid Corporation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10652598/10652600/10653398.pdf?arnumber=10653398
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1. Proposing suitable data imputation methods by adopting a Stage wise approach for various classes of smart meters missing data – Practical approach
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3. Air quality data missing supplement algorithm integrating two-way Gru;Kunpeng;Small Microcomputer System,2022
4. Real-Time Data Filling and Automatic Retrieval Algorithm of Road Traffic Based on Deep-Learning Method;Jie;Symmetry,2020
5. A reconstruction method for missing data in power system measurement using an improved generative adversarial network;Shouxiang,2019
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