<trans-title xml:lang="en">A hybrid model for photovoltaic power prediction of both convolutional and long short-term memory neural networks optimized by genetic algorithm</trans-title>

Chen-Yang Wang; Qian-Qian Duan; Kai Zhou; Jing Yao; Min Su; Yi-Chao Fu; Jun-Yang Ji; Xin Hong; Xue-Qin Liu; Zhi-Yong Wang

doi:10.7498/aps.69.20191935

Acta Physica Sinica, Volume. 69, Issue 10, 100701-1(2020)

A hybrid model for photovoltaic power prediction of both convolutional and long short-term memory neural networks optimized by genetic algorithm

Chen-Yang Wang¹, Qian-Qian Duan¹, Kai Zhou¹, Jing Yao¹, Min Su¹, Yi-Chao Fu¹, Jun-Yang Ji¹, Xin Hong¹, Xue-Qin Liu^1、*, and Zhi-Yong Wang^2、*

Author Affiliations

¹Chongqing Key Laboratory of Green Energy Materials Technology and Systems, School of Science, Chongqing University of Technology, Chongqing 400054, China

²School of Physical Science and Technology, Southwest University, Chongqing 400715, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(11)

Fig. 1. CNN-LSTM hybrid algorithm model.

Download full size

View in Article

Fig. 2. One dimensional convolutional neural network structure.

Download full size

View in Article

Fig. 3. LSTM neural network structure.

Download full size

View in Article

Fig. 4. Optimization process of genetic algorithm.

Download full size

View in Article

Fig. 5. Power diagram of CNN model prediction.

Download full size

View in Article

Fig. 6. Power diagram of LSTM model prediction.

Download full size

View in Article

Fig. 7. Power diagram of CNN-LSTM model prediction.

Download full size

View in Article

Fig. 8. Power diagram of GA-CNN-LSTM model prediction.

Download full size

View in Article

Table 1.
Grey relational analysis value.
灰色关联度分析值
View table
View in Article
Table 1.
Grey relational analysis value.
灰色关联度分析值
变量特征风速风向温度压强湿度实发辐照度
Y 0.34 0.28 0.45 0.01 0.62 0.97

Table 2.
Error index of model prediction.
模型预测误差指标
View table
View in Article
Table 2.
Error index of model prediction.
模型预测误差指标
模型 CNN LSTM CNN-LSTM GA-CNN-LSTM
MAE 0.34765 0.36681 0.28763 0.21424
MSE 0.65034 0.63447 0.60437 0.58529
RMSE 0.80643 0.77431 0.69321 0.61213
MAPE 0.06013 0.06233 0.05439 0.04476

Table 3.
Model running time.
模型运行时间
View table
View in Article
Table 3.
Model running time.
模型运行时间
模型 CNN LSTM CNN-LSTM GA-CNN-LSTM
训练时间/s 456.434 51.576 611.880 503.740
测试时间/s 1.130 1.220 3.690 2.770

Tools

Get Citation

Copy Citation Text

Chen-Yang Wang, Qian-Qian Duan, Kai Zhou, Jing Yao, Min Su, Yi-Chao Fu, Jun-Yang Ji, Xin Hong, Xue-Qin Liu, Zhi-Yong Wang. A hybrid model for photovoltaic power prediction of both convolutional and long short-term memory neural networks optimized by genetic algorithm[J]. Acta Physica Sinica, 2020, 69(10): 100701-1

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites