Proposing suitable data imputation methods by adopting a Stage wise approach for various classes of smart meters missing data – Practical approach
作者：
Highlights：
• Introducing a stage-wise data-driven approach for detecting and classifying bad data.
• Introducing a novel PSO based multiple imputation for imputing missing values.
• Classifying missing values into four different classes.
• Imputing missing values in an artificial manner to have a complete time-series data.
• Suggesting imputation methods using “Divide” and “Divide-Combine” strategies.
摘要
•Introducing a stage-wise data-driven approach for detecting and classifying bad data.•Introducing a novel PSO based multiple imputation for imputing missing values.•Classifying missing values into four different classes.•Imputing missing values in an artificial manner to have a complete time-series data.•Suggesting imputation methods using “Divide” and “Divide-Combine” strategies.
论文关键词：Smart Grid,Smart Meter,Data Preprocessing,Missing Value Imputation,Advanced Metering Infrastructure,Particle Swarm Optimization
论文评审过程：Received 15 November 2020, Revised 15 May 2021, Accepted 12 September 2021, Available online 24 September 2021, Version of Record 29 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115911
