Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM-Reference-Cited by-同舟云学术

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Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM

Published:2023-12 Issue: Volume:9 Page:6449-6460
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Li Zheng^ORCID,Xu Ruosi,Luo Xiaorui,Cao Xin,Sun Hexu

Publisher

Elsevier BV

Subject

General Energy

Reference37 articles.

1. Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting;Aasim;Renew. Energy,2019

2. Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history;Chen;Energy Convers. Manag.,2021

3. Numerical weather prediction and artificial neural network coupling for wind energy forecast;Donadio;Energies,2021

4. A multimodal approach to chaotic renewable energy prediction using meteorological and historical information;Goh;Appl. Soft Comput.,2022

5. Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression;He;Neurocomputing,2021

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3. Enhancing stock market Forecasting: A hybrid model approach for accurate prediction of S&P 500 and CSI 300 future prices;Expert Systems with Applications;2024-09

4. A Novel Hybrid Method for Multi-Step Short-Term 70 m Wind Speed Prediction Based on Modal Reconstruction and STL-VMD-BiLSTM;Atmosphere;2024-08-21

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