Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

MD Liu, L Ding, YL Bai - Energy Conversion and Management, 2021 - Elsevier
Wind speed is the key factor of wind power generation. With the increase of the proportion of
wind power generation in total power generation, the accurate prediction of wind speeds …

[HTML][HTML] Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition

Y Bai, MD Liu, L Ding, YJ Ma - Applied Energy, 2021 - Elsevier
Due to the strong randomness of wind speed, wind power generation is difficult to integrate
into the grid. It is very important to predict wind speed reliably and accurately so that wind …

[HTML][HTML] A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data

X Liu, L Zhang, J Wang, Y Zhou, W Gan - Renewable Energy, 2023 - Elsevier
Wind speed forecasting is the basis of wind farm operation, which provides a reference for
the future operation status evaluation of wind farms. For the wind speed forecast of wind …

Wind power interval prediction based on improved PSO and BP neural network

J Wang, K Fang, W Pang, J Sun - Journal of electrical engineering & …, 2017 - dbpia.co.kr
As is known to all that the output of wind power generation has a character of randomness
and volatility because of the influence of natural environment conditions. At present, the …

Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China

T Ma, C Wang, J Wang, JJ Cheng, X Chen - Information Sciences, 2019 - Elsevier
In many countries, wind power is being developed as a primary source of renewable energy.
However, it is difficult to describe and forecast wind speed features, which are stochastic and …

Short‐time wind speed prediction based on Legendre multi‐wavelet neural network

X Zheng, D Jia, Z Lv, C Luo, J Zhao… - CAAI Transactions on …, 2023 - Wiley Online Library
As one of the most widespread renewable energy sources, wind energy is now an important
part of the power system. Accurate and appropriate wind speed forecasting has an essential …

Wind power interval prediction based on improved whale optimization algorithm and fast learning network

D Zhang, Z Chen, Y Zhou - Journal of Electrical Engineering & Technology, 2022 - Springer
The uncertainty of wind power brings great challenges to large-scale wind power
integration. The conventional point prediction of wind power is difficult to meet the demand …

A spatial transfer-based hybrid model for wind speed forecasting

X Chen, X Ye, J Shi, Y Zhang, X Xiong - Energy, 2024 - Elsevier
Accurate wind speed forecasting is essential for optimizing energy dispatch and enhancing
grid stability. This study presents a novel hybrid wind speed forecasting model (WSDTW …

Wind speed forecasting based on wavelet decomposition and wavelet neural networks optimized by the Cuckoo search algorithm

Y Zhang, S Yang, Z Guo, Y Guo… - Atmospheric and Oceanic …, 2019 - Taylor & Francis
Wind speed forecasting is of great importance for wind farm management and plays an
important role in grid integration. Wind speed is volatile in nature and therefore it is difficult to …

A novel ensemble model based on an advanced optimization algorithm for wind speed forecasting

Y Wang, A Zhao, X Wei, R Li - Energies, 2023 - mdpi.com
Concerning the vision of achieving carbon neutral and peak carbon goals, wind energy is
extremely important as a renewable and clean energy source. However, existing research …