Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network
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Abstract
As the penetration ratio of wind power in active distribution networks continues to increase, the system exhibits some characteristics such as randomness and volatility. Fast and accurate short-term wind power prediction is e... | Find, read and cite all the research you need on Tech Science Press
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Research context
OpenAlex topics: Energy Load and Power Forecasting · Computational Physics and Python Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (36)
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1. Deep concatenated residual network with bidirectional LSTM for one-hour-ahead wind power forecasting10.1109/TSTE.2020.3043884 ↗
2. Forecasting the high penetration of wind power on multiple scales using multi-to-multi mapping10.1109/TPWRS.2017.2787667 ↗
3. A spatiotemporal directed graph convolution network for ultra-short-term wind power prediction10.1109/TSTE.2022.3198816 ↗
4. Wind turbine performance degradation monitoring using DPGMM and Mahalanobis distance10.1016/j.renene.2022.09.115 ↗
5. Shafiullah · Ali. Smart Grids. Green Energy and Technology · 2013 · 4510.1007/978-1-4471-5210-1_3 ↗
6. Machine learning ensembles for wind power prediction10.1016/j.renene.2015.11.073 ↗
7. Machine learning and deep learning for wind power forecasting
8. A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting10.1016/j.energy.2021.122109 ↗
9. Very short-term forecasting of wind power generation using hybrid deep learning model10.1016/j.jclepro.2021.126564 ↗
10. A hybrid deep learning-based neural network for 24-h ahead wind power forecasting10.1016/j.apenergy.2019.05.044 ↗
11. Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges10.1016/j.apenergy.2021.117446 ↗
12. A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network10.1016/j.energy.2022.125276 ↗
13. Spatio-temporal short-term wind forecast: A calibrated regime-switching method
14. Spatio-temporal asymmetry of local wind fields and its impact on short-term wind forecasting10.1109/TSTE.2018.2789685 ↗
15. Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction10.1016/j.apenergy.2021.116951 ↗
16. Power prediction of a wind farm cluster based on spatiotemporal correlations10.1016/j.apenergy.2021.117568 ↗
17. CNN-BiLSTM short-term wind power forecasting method based on feature selection10.1109/JRFID.2022.3213753 ↗
18. A hybrid attention-based deep learning approach for wind power prediction
19. Two-stream convolutional networks for action recognition in videos
20. Direction-guided two-stream convolutional neural networks for skeleton-based action recognition10.1007/s00500-023-07862-1 ↗
21. Dual stream network with attention mechanism for photovoltaic power forecasting10.1016/j.apenergy.2023.120916 ↗
22. A hybrid EMD-SVM based short-term wind power forecasting model
23. Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method10.1016/j.renene.2016.03.103 ↗
24. The wavelet transform time-frequency localization and signal analysis10.1109/18.57199 ↗
25. Variational mode decomposition10.1109/TSP.2013.2288675 ↗
26. Empirical mode decomposition for trivariate signals10.1109/TSP.2009.2033730 ↗
27. Short-term wind power forecasting based on SSA-VMD-LSTM10.1016/j.egyr.2023.05.181 ↗
28. The whale optimization algorithm10.1016/j.advengsoft.2016.01.008 ↗
29. Particle swarm optimization algorithm10.1007/s00500-016-2474-6 ↗
30. Grey wolf optimizer10.1016/j.advengsoft.2013.12.007 ↗
31. Input feature selection for classification problems10.1109/72.977291 ↗
32. Squeeze-and-excitation networks
33. On the properties of neural machine translation: Encoder-decoder approaches10.3115/v1/W14-4012 ↗
34. Multi-step wind power forecast based on VMD-LSTM10.1049/iet-rpg.2018.5781 ↗
35. Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features10.1016/j.engappai.2023.105982 ↗
36. Research on CNN-BiLSTM power load forecasting based on VMD algorithm