欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对基于支持向量机的风电场短期风速预测进行研究．选择了不同的输入向量（历史风速时间序列，历史风速和温度．历史风速、温度和风向，历史风速、温度和时间）作为输入进行误差对比分析。实测数据及分析结果表明，采用历史风度和温度的二输入模型，预测效果最佳，为风速的短期预测和发电量预测提供了较好的参考价值。
英文摘要：
In this paper, support vector machine （SVM） method is employed for the short term wind speed forcasting of wind farm. Various input vectors of SVM were generated and compared through error measures to guarantee the performance and accuracy of the chosen models. First a model with only historical wind speed data was chosen according to the traditional way. Nevertheless, the results were not sufficiently satisfactory. Therefore, three models, consisting of historical wind speed data and temperature, historical wind speed data, temperature and wind direction, historical wind speed data, temperature and time, were developed. The simplest model of two inputs with wind speed data and temperature, was the optimal for the short term wind speed forecasting. The developed model provides an alternative for short term wind speed forecasting with high pricision.
同期刊论文项目
同项目期刊论文
Small-signal modelling and analysis of wind turbine with direct drive permanent magnet synchronous g
Pulse width modulation AC/DC converters with line current harmonics minimisation and high power fact
Zero-Voltage-Switching PWM Full-Bridge Converter Employing Auxiliary Transformer to Reset the Clampi
Symmetrical short circuit current characteristics of doubly fed induction generator wind turbine wit
Full Feedforward of Grid Voltage for Discrete State Feedback Controlled Grid-Connected Inverter With
Multiple-Complex Coefficient-Filter-Based Phase-Locked Loop and Synchronization Technique for Three-
Improved current regulation of three-phase grid-connected voltage-source inverters for distributed g
Flexible Control of Three-Phase Distributed Generation Systems for Voltage Rise Mitigation in Microg
期刊信息
位置：