Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 허진 | * |
dc.date.accessioned | 2023-04-14T16:31:15Z | - |
dc.date.available | 2023-04-14T16:31:15Z | - |
dc.date.issued | 2023 | * |
dc.identifier.issn | 1996-1073 | * |
dc.identifier.other | OAK-33111 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/264896 | - |
dc.description.abstract | With growing interest in sustainability and net-zero emissions, there has been a global trend to integrate wind power into energy grids. However, challenges such as the intermittency of wind energy remain, which leads to a significant need for accurate wind-power forecasting. Therefore, this study focuses on creating a wind-power generation-forecasting model using a machine-learning algorithm. In this study, we used the gradient-boosting machine (GBM) algorithm to build a wind-power forecasting model. Time-series data with a 15 min interval from Jeju's wind farms were applied to the model as input data. The short-term forecasting model trained by the same month with the test set turns out to have the best performance, with an NMAE value of 5.15%. Furthermore, the forecasting results were applied to Jeju's power system to carry out a grid-security analysis. The improved accuracy of wind-power forecasting and its impact on the security of electrical grids in this study potentially contributes to greater integration of wind energy. | * |
dc.language | English | * |
dc.publisher | MDPI | * |
dc.subject | renewable energy | * |
dc.subject | wind-power forecasting | * |
dc.subject | machine learning | * |
dc.subject | gradient-boosting machine (GBM) | * |
dc.title | A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms | * |
dc.type | Article | * |
dc.relation.issue | 3 | * |
dc.relation.volume | 16 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | ENERGIES | * |
dc.identifier.doi | 10.3390/en16031132 | * |
dc.identifier.wosid | WOS:000930075300001 | * |
dc.identifier.scopusid | 2-s2.0-85148053398 | * |
dc.author.google | Park, Soyoung | * |
dc.author.google | Jung, Solyoung | * |
dc.author.google | Lee, Jaegul | * |
dc.author.google | Hur, Jin | * |
dc.contributor.scopusid | 허진(57204537834) | * |
dc.date.modifydate | 20240322114232 | * |