We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
An Improved Data-Efficiency Algorithm Based on Combining Isolation Forest and Mean Shift for Anomaly Data Filtering in Wind Power Curve.
- Authors
Wang, Wei; Yang, Shiyou; Yang, Yankun
- Abstract
A wind turbine working in a harsh environment is prone to generate abnormal data. An efficient algorithm based on the combination of an Isolation Forest (I-Forest) and a mean-shift algorithm is proposed for data cleaning in wind power curves. The I-Forest is used for detecting the local anomalies in each power and wind speed interval after data preprocessing. The contamination of I-Forest can be flexibly adjusted according to the data distribution of the wind turbine data. The remaining stacked data is eliminated by the mean-shift algorithm. To verify the filtering performance of the proposed combined method, five different algorithms, including the quartile and k-means (QK), the quartile and density-based spatial clustering (QD), the mathematical morphology operation (MMO), the fast data cleaning algorithm (FA), and the proposed one, are applied to the wind power curves of a prototype wind farm for comparisons. The numerical results have positively confirmed the reliability of the universal framework provided by the proposed algorithm.
- Subjects
WIND power; BASE isolation system; ELECTRIC power filters; CLEAN energy; MATHEMATICAL morphology; DATA scrubbing; CURVES
- Publication
Energies (19961073), 2022, Vol 15, Issue 13, p4918
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en15134918