CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
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Mar 3, 2025 - Jupyter Notebook
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ceemdan
Here are 7 public repositories matching this topic...
Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
prediction artificial-intelligence lstm forecasting deeplearning renewable-energy datapreprocessing ceemdan
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Sep 28, 2023 - Python
Research code for AIR-CEEMDAN: adaptive hybrid financial time-series forecasting.
python machine-learning deep-learning time-series reproducible-research lstm financial-forecasting ceemdan
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Sep 19, 2026 - Python
Experimental PyTorch workflows for classifying knee vibroarthrography signals using time-frequency images and CNN/ResNet models.
machine-learning deep-learning pytorch spectrogram resnet convolutional-neural-network wavelet-transform continuous-wavelet-transform time-frequency-analysis vag signal-classification biomedical-signal-processing ceemdan vibroarthrography
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Jul 23, 2026 - Jupyter Notebook
Code for reproducing results of extended vertical wind profile–based farm-scale power forecasting study.
machine-learning machine-learning-projects wind-power wind-power-forecasting ceemdan vertical-profile
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Feb 17, 2026 - Python
Reproducibility code and archived results for CEEMDAN-based adaptive EWT and frequency-selective dual-channel GRU wind power forecasting.
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Sep 1, 2026 - Python
Quantifying information leakage in CEEMDAN decomposition for volatility forecasting
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Sep 29, 2026 - Jupyter Notebook
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