Transformer短时间风电功率预测.docx
Transformer短时间风电功率预测
目录
内容概述................................................3
1.1研究背景...............................................3
1.2研究目的...............................................4
1.3文献综述...............................................4
Transformer模型简介.....................................6
2.1Transformer模型概述....................................6
2.2Transformer模型的结构..................................7
2.3Transformer模型的应用领域..............................8
风电功率预测方法........................................9
3.1传统预测方法...........................................9
3.1.1基于统计的方法......................................10
3.1.2基于物理模型的方法..................................11
3.1.3基于机器学习的方法..................................12
3.2基于深度学习的预测方法................................13
3.2.1循环神经网络........................................14
3.2.2长短期记忆网络......................................14
3.2.3门控循环单元........................................15
Transformer在风电功率预测中的应用......................16
4.1模型设计..............................................16
4.1.1输入层处理..........................................17
4.1.2自注意力层设计......................................18
4.1.3位置编码应用........................................19
4.1.4前馈神经网络设计....................................19
4.1.5输出层处理..........................................21
4.2模型训练与优化........................................21
4.2.1数据预处理..........................................22
4.2.2损失函数选择........................................23
4.2.3优化算法............................................23
4.2.4模型参数调整........................................24
4.3模型评估与对比........................................25
4.3.1评价指标............................................26
4.3.2对比实验............................................27
4.3.3结果分析............................................27
实验与分析.............................................28
5.1数据集介绍............................................28
5.2实验设置..............................................29
5.2.1模