Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction
Improving the accuracy of wind power data is of great significance for building ubiquitous power internet of things (UPIoT). Wind power prediction has a high demand for historical data sets. Most of research was focused on improving the prediction accuracy by establishing different prediction models...
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| Format: | Article |
| Language: | English |
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Editorial Department of Power Generation Technology
2020-08-01
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| Series: | 发电技术 |
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| Online Access: | https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.19035 |
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| author | Xincheng JIN Xiuyuan YANG |
| author_facet | Xincheng JIN Xiuyuan YANG |
| author_sort | Xincheng JIN |
| collection | DOAJ |
| description | Improving the accuracy of wind power data is of great significance for building ubiquitous power internet of things (UPIoT). Wind power prediction has a high demand for historical data sets. Most of research was focused on improving the prediction accuracy by establishing different prediction models or proposing different prediction algorithms. There is not much attention on noise data elimination. Thus, a noise reduction method for the historical wind power data was proposed, which was mainly applied to the data set, by eliminating the distorted data in the historical wind power data, the amount of useless data was reduced, the accuracy of wind power prediction was improved, and the data modeling and prediction time was shortened. |
| format | Article |
| id | doaj-art-24df710111fe4e9a841980ba3d644523 |
| institution | Kabale University |
| issn | 2096-4528 |
| language | English |
| publishDate | 2020-08-01 |
| publisher | Editorial Department of Power Generation Technology |
| record_format | Article |
| series | 发电技术 |
| spelling | doaj-art-24df710111fe4e9a841980ba3d6445232024-11-09T02:11:44ZengEditorial Department of Power Generation Technology发电技术2096-45282020-08-0141444745110.12096/j.2096-4528.pgt.19035fdjs-41-4-447Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power PredictionXincheng JIN0Xiuyuan YANG1State Grid Beijing Yizhuang Power Supply Company, Daxing District, Beijing 100176, ChinaSchool of Automation, Beijing Information Science & Technology University, Haidian District, Beijing 100192, ChinaImproving the accuracy of wind power data is of great significance for building ubiquitous power internet of things (UPIoT). Wind power prediction has a high demand for historical data sets. Most of research was focused on improving the prediction accuracy by establishing different prediction models or proposing different prediction algorithms. There is not much attention on noise data elimination. Thus, a noise reduction method for the historical wind power data was proposed, which was mainly applied to the data set, by eliminating the distorted data in the historical wind power data, the amount of useless data was reduced, the accuracy of wind power prediction was improved, and the data modeling and prediction time was shortened.https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.19035wind power predictiondata noise reductiondata set processing |
| spellingShingle | Xincheng JIN Xiuyuan YANG Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction 发电技术 wind power prediction data noise reduction data set processing |
| title | Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction |
| title_full | Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction |
| title_fullStr | Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction |
| title_full_unstemmed | Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction |
| title_short | Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction |
| title_sort | data pre processing method based on distorted data noise reduction and its application in wind power prediction |
| topic | wind power prediction data noise reduction data set processing |
| url | https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.19035 |
| work_keys_str_mv | AT xinchengjin datapreprocessingmethodbasedondistorteddatanoisereductionanditsapplicationinwindpowerprediction AT xiuyuanyang datapreprocessingmethodbasedondistorteddatanoisereductionanditsapplicationinwindpowerprediction |