A novel data-characteristic-driven modeling approach for imputing missing value in industrial statistics: A case study of China electricity statistics-Reference-Cited by-同舟云学术

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A novel data-characteristic-driven modeling approach for imputing missing value in industrial statistics: A case study of China electricity statistics

Published:2024-11 Issue: Volume:373 Page:123854
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Chen Fan,Yu Lan,Mao Jinqi,Yang Qing,Wang Delu,Yu Chenghao

Publisher

Elsevier BV

Reference58 articles.

1. Big data analytics capability and decision-making: the role of data-driven insight on circular economy performance[J];Awan;Technol Forecast Soc Change,2021

2. Method for data quality assessment of synthetic industrial data[J];Iantovics;Sensors,2022

3. Accuracy and reliability of China’s energy statistics[J];Sinton;China Econom Rev,2001

4. Monthly industrial output in China 1980–2012[J];Holz;China Econom Rev,2014

5. Are the official national data credible? Empirical evidence from statistics quality evaluation of China’s coal and its downstream industries[J];Wang;Energy Econ,2022

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