Short-term wind speed forecasting using STLSSVM hybrid model | |
Yuan, D.; Qian, Z.; Jing, B.; Pei, Y. | |
2019 | |
会议名称 | 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings |
会议日期 | 2018-11-06 |
关键词 | Backpropagation Forecasting Least squares approximations Particle swarm optimization (PSO) Speed Support vector machines Wind power Auto-regressive integrated moving average EEMD Ensemble empirical mode decompositions (EEMD) Hybrid methodologies Least squares support vector machines Short-term wind speed forecasting State transitions Wind speed forecasting Wind |
页码 | 1661-1667 |
收录类别 | EI |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5920935 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Yuan, D.,Qian, Z.,Jing, B.,et al. Short-term wind speed forecasting using STLSSVM hybrid model[C]. 见:2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings. 2018-11-06. |
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