Wind speed and solar irradiance prediction using a bidirectional long short-term memory model based on neural networks

FR Alharbi, D Csala - Energies, 2021 - mdpi.com
The rapid growth of wind and solar energy penetration has created critical issues, such as
fluctuation, uncertainty, and intermittence, that influence the power system stability, grid …

The univariate model for long-term wind speed forecasting based on wavelet soft threshold denoising and improved Autoformer

G Ban, Y Chen, Z Xiong, Y Zhuo, K Huang - Energy, 2024 - Elsevier
Accurate wind speed prediction is crucial for effective wind power grid integration and
energy dispatching. Recent research has explored the combination of decomposition …

Interval prediction method for wind power based on VMD-ELM/ARIMA-ADKDE

T Xu, Y Du, Y Li, M Zhu, Z He - IEEE access, 2022 - ieeexplore.ieee.org
Wind power is a new energy source, for which the forecasting accuracy is related to the
feasibility of various decision-making schemes for the power grid. The random, fluctuating …

The IVMD-CNN-GRU-Attention Model for Wind Power Prediction with Sample Entropy Fusion (December 2023)

D Ren, J Ma, H Liu, Y Li, C Chen, T Qin, Z He… - IEEE Access, 2024 - ieeexplore.ieee.org
To enhance the accuracy of wind power prediction, we introduce a novel prediction method:
the IVMD-CNN-GRU-Attention model integrated with sample entropy fusion. This approach …

A new hybrid cnn-LSTM for wind power forecasting in ethiopia

E Tefera, M Martínez-Ballesteros, A Troncoso… - … Conference on Hybrid …, 2023 - Springer
Renewable energies are currently experiencing promising growth as an alternative solution
to minimize the emission of pollutant gases from the use of fossil fuels, which contribute to …

[PDF][PDF] Bi-LSTM-Based Deep Stacked Sequence-to-Sequence Autoencoder for Forecasting Solar Irradiation and Wind Speed.

N Mughees, MH Jaffery, A Mughees… - … , Materials & Continua, 2023 - researchgate.net
Wind and solar energy are two popular forms of renewable energy used in microgrids and
facilitating the transition towards net-zero carbon emissions by 2050. However, they are …

Hibrit derin öğrenme teknikleri kullanılarak kısa dönemli rüzgar tahmini

M Balcı - 2024 - acikkaynak.bilecik.edu.tr
Günümüzde artan enerji ihtiyacına paralel olarak çevresel etkiler de göz önüne alındığında
yenilenebilir enerji kaynaklarının kullanımı önem kazanmaktadır. Yenilenebilir enerji …

Check for

F Martínez-Álvarez - … 2023, Salamanca, Spain, September 5–7 …, 2023 - books.google.com
Renewable energies are currently experiencing promising growth as an alternative solution
to minimize the emission of pollutant gases from the use of fossil fuels, which contribute to …

Wind Power Forecasting Using Deep Learning Method: A Review

A Choudhary, P Jain, A Prajesh - 2023 1st International …, 2023 - ieeexplore.ieee.org
With fast economic growth people living standard has also grown and the demand for
energy has increased this used to be settled by exploiting large amount of non-renewable …

[PDF][PDF] Wind Speed and Solar Irradiance Prediction Using a Bidirectional Long Short-Term Memory Model Based on Neural Networks. Energies, 2021, 14, 6501

FR Alharbi, D Csala - 2021 - psecommunity.org
The rapid growth of wind and solar energy penetration has created critical issues, such as
fluctuation, uncertainty, and intermittence, that influence the power system stability, grid …