A missing power data filling method based on improved random forest algorithm
Missing data filling is a key step in power big data preprocessing, which helps to improve the quality and the utilization of electric power data. Due to the limitations of the traditional methods of filling missing data, an improved random forest filling algorithm is proposed. As a result of the ho...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial office of Chinese Journal of Electrical Engineering
2019-12-01
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| Series: | Chinese Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8950481 |