现代信息科技2024，Vol.8Issue(16)：141-145,5.DOI:10.19850/j.cnki.2096-4706.2024.16.030
基于轻量化Transformer模型的多变量风电功率预测
Multivariate Wind Power Prediction with Lightweight Transformer Model
摘要
Abstract
Wind power prediction is extremely important for power dispatching and new energy management.In order to accurately and efficiently predict the multivariate wind power,a wind power prediction method based on Light Transformer is proposed.Firstly,the rolling sequence modeling method is used to determine the input data,and then the Transformer prediction model is used to improve and streamline the original structure and use the GeLU Activation Function instead of the traditional GeLU Activation Function in the feed-forward network module to improve the quality of the model.It lightens the network structure,utilizes the multi-attention mechanism,accelerates the training speed of the model and improves the accuracy of the prediction model.关键词
轻量化Transformer模型/风电功率/激活函数Key words
Lightweight Transformer model/wind power/Activation Function分类
信息技术与安全科学引用本文复制引用
宋倩,蓝俊欢..基于轻量化Transformer模型的多变量风电功率预测[J].现代信息科技,2024,8(16):141-145,5.基金项目
2022年广西高校中青年教师科研基础能力提升项目(2022KY0606) （2022KY0606）
2023年河池学院校级科研平台(2023XJPT011) （2023XJPT011）
