Data Imputation Techniques Applied to the Smart Grids Environment
Author:
Affiliation:
1. Department of Exact Sciences and Engineering, Regional University of Northwestern Rio Grande do Sul (UNIJUÍ), Ijui, Brazil
2. Department of Underground Networks, State Electric Power Distribution Company (CEEE-D), Porto Alegre, Brazil
Funder
State Electric Power Distribution Company (CEEE-D) through Research and Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10081311.pdf?arnumber=10081311
Reference30 articles.
1. Data-Driven Copy-Paste Imputation for Energy Time Series
2. Big Data Analytics for Electricity Theft Detection in Smart Grids
3. Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data
4. Handling bad or missing smart meter data through advanced data imputation
5. Comparison of the Most Influential Missing Data Imputation Algorithms for Healthcare
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