Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

Y Chen, Z Dong, Y Wang, J Su, Z Han, D Zhou… - Energy Conversion and …, 2021 - Elsevier
Accurate short-term wind speed prediction is of great significance for early warning and
regulation of wind farms. At present, the scale of wind speed time-history data is increasing …

Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM

Z Tian - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Accurate prediction of wind speed is of great significance to the operation and maintenance
of wind farms, the optimal scheduling of turbines, and the safe and stable operation of power …

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support …

H Liu, X Mi, Y Li, Z Duan, Y Xu - Renewable energy, 2019 - Elsevier
Wind speed forecasting can effectively improve the safety and reliability of wind energy
generation system. In this study, a novel hybrid short-term wind speed forecasting model is …

Short-term wind power forecasting based on meteorological feature extraction and optimization strategy

P Lu, L Ye, M Pei, Y Zhao, B Dai, Z Li - Renewable Energy, 2022 - Elsevier
Accurate wind power forecasting is a vital factor in day-ahead dispatch and increasing the
level of penetration of renewable energy. The feature extraction of meteorological factors …

Regression model for predicting the speed of wind flows for energy needs based on fuzzy logic

N Khasanzoda, I Zicmane, S Beryozkina, M Safaraliev… - Renewable Energy, 2022 - Elsevier
Renewable energy integration becomes an important criterion for the sustainable
generation of electrical power. The high introduction of wind power plants into the power …

Spatio-temporal wind speed prediction based on Clayton Copula function with deep learning fusion

Y Huang, B Zhang, H Pang, B Wang, KY Lee, J Xie… - Renewable energy, 2022 - Elsevier
Accurate prediction of wind speed plays an important role in increasing the power
generation of wind turbines and realizing efficient use of wind energy. However, due to the …

Adaptive short-term wind power forecasting with concept drifts

Y Li, Z Wu, Y Su - Renewable Energy, 2023 - Elsevier
The instability of wind power has a serious impact on the power grid system, and an
accurate wind power forecasting is greatly demanded in practice. Due to the time-varying …

Evaluating a dendritic neuron model for wind speed forecasting

Z Song, Y Tang, J Ji, Y Todo - Knowledge-Based Systems, 2020 - Elsevier
Because of the intrinsic complexity and chaotic nature of wind speed time series, an
appropriate model for accurately forecasting the moving tendency is required. In this paper …

A Comprehensive Review of Shipboard Power Systems with New Energy Sources

H Yin, H Lan, YY Hong, Z Wang, P Cheng, D Li, D Guo - Energies, 2023 - mdpi.com
A new energy ship is being developed to address energy shortages and greenhouse gas
emissions. New energy ships feature low operational costs and zero emissions. This study …

Regional differences study of renewable energy performance: A case of wind power in China

F Dong, L Shi - Journal of Cleaner Production, 2019 - Elsevier
In recent years, the profit growth of wind power enterprises in China is generally weak, and
the phenomenon of “wind curtailment” in some areas is relatively common. The …