Considering that the relationship between variables of multivariable time series on different time scales is not the same, this paper proposes a multi-time scale prediction hybrid network (MSACN-LSTM) for multi-time scale multivariable time series prediction. Firstly, in order to explore the ...
3. MSADBO-LSTM Prediction Model The accuracy of the LSTM neural network model in predicting short-term wind power generation primarily depends on the L2 regularization parameter, learning rate, and the number of neurons in the hidden layer. Although the DBO algorithm can optimize these parameters ...
侯立月目前担任北京安翔宏晟机电工程有限公司法定代表人,同时担任北京安翔宏晟机电工程有限公司执行董事,经理;二、侯立月投资情况:侯立月目前是北京安翔宏晟机电工程有限公司直接控股股东,持股比例为100%;目前侯立月投资北京安翔宏晟机电工程有限公司最终收益股份为100%;三、侯立月的商业合作伙伴:基于公开数据展示,侯立月与...