摘要
阐述DBSCAN方法对风电场实测数据进行预处理,剔除异常数据,建立一种GA-LSSVM与ARIMA加权组合后得到的短期风功率预测模型,从而获得风功率预测的结果,算例验证方法的有效性。
This paper describes the DBSCAN method to preprocess the measured data of wind farms,eliminate the abnormal data,and establish a short-term wind power prediction model based on the weighted combination of GA-LSSVM and ARIMA,so as to obtain the results of wind power prediction.An example verifies the effectiveness of the method.
作者
张璐
杨培宏
刘景霞
ZHANG Lu;YANG Peihong;LIU Jingxia(School of Information Engineering,Inner Mongolia University of Science and Technology,Key Laboratory of Photothermal and Wind Power Generation in Inner Mongolia Autonomous Region,Inner Mongolia 014010,China)
出处
《电子技术（上海）》
2022年第10期115-117,共3页
Electronic Technology
基金
内蒙古自治区自然科学基金(2020LH05019)。
关键词
仿真模拟
算例验证
风功率预测
simulation
example validation
wind power prediction
