基于改进MFO优化Attention-LSTM的超短期风电功率预测<sup>*</sup>

基于改进MFO优化Attention-LSTM的超短期风电功率预测^*

宋立业, 鞠亚东, 张鑫

Ultra-short-term Wind Power Prediction Based on Improved MFO Optimized Attention-LSTM

SONG Liye, JU Yadong, ZHANG Xin

表1 四种测试函数

测试函数	维度	搜索范围
$f_{1} (x) = \sum_{i = 1}^{n} \|x_{i}\| + \prod_{i = 1}^{n} \|x_{i}\|$	30	[-10，10]
$f_{2} (x) = \sum_{i = 1}^{n} x_{i}^{4} + random [0, 1]$	30	[-1.28，1.28]
$f_{3} (x) = \frac{1}{4 000} \sum_{i = 1}^{n} (x_{i}^{2}) - \prod_{i = 1}^{n} \cos (\frac{x_{i}}{\sqrt{i}}) + 1$	30	[-600，600]
$f_{4} (x) = \sum_{i = 1}^{n} [x_{i} - 10 \cos (2 π x_{i}) + 10]$	30	[-5.12，5.12]