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Published 20 hours ago • verified publisher icon irenekarijadi
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Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method

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TypeError: 'module' object is not callable

TypeError Traceback (most recent call last) Cell In[19], line 1 ----> 1 eemd_lstm(new_data,i,look_back,data_partition,cap) File D:\CEEMDAN-EWT-LSTM-main\CEEMDAN-EWT-LSTM-main\myfunctions_france.py:594, in eemd_lstm(new_data, i, look_back, data_partition, cap) 591 from PyEMD import EEMD 592 import ewtpy -->...

0411yab avatar 0411yab

“Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method”，I can't find this paper. Can you send it to me

yangyouxi123456 avatar yangyouxi123456

The paper data does not match the simulation data

![微信图片_20240603103813](https://github.com/irenekarijadi/CEEMDAN-EWT-LSTM/assets/167188493/26bc463a-0712-453a-9f9a-8e1d1a01de81) ![微信图片_20240603104141](https://github.com/irenekarijadi/CEEMDAN-EWT-LSTM/assets/167188493/1046e63c-6279-459d-bd57-39884bfda7a0) ![微信图片_20240603104047](https://github.com/irenekarijadi/CEEMDAN-EWT-LSTM/assets/167188493/828433c7-6405-4798-9212-184666c71266)

0411yab avatar 0411yab

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Metadata

Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method

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