Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Z Zhao, S Yun, L Jia, J Guo, Y Meng, N He, X Li… - … Applications of Artificial …, 2023 - Elsevier
Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
M Yang, Y Huang, C Xu, C Liu, B Dai - Applied Energy, 2025 - Elsevier
Wind power forecasting (WPF) is the crucial technology for power system operation with
large-scale grid-connected wind farms. A large number of related studies have emerged …
large-scale grid-connected wind farms. A large number of related studies have emerged …
A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China
L Zhao, Z Li, L Qu, J Zhang, B Teng - Ocean Engineering, 2023 - Elsevier
Accurate wave forecasting is essential for the safety of port and offshore structure operations
and ship navigation. Computational fluid dynamics (CFD) and traditional time series models …
and ship navigation. Computational fluid dynamics (CFD) and traditional time series models …
Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process
M Yang, Y Guo, Y Huang - Energy, 2023 - Elsevier
Wind power prediction technology is important for building novel power systems with a high
proportion of renewable energy. The quality of Numerical weather prediction (NWP) has a …
proportion of renewable energy. The quality of Numerical weather prediction (NWP) has a …
A short-term wind power prediction method based on dynamic and static feature fusion mining
M Yang, D Wang, W Zhang - Energy, 2023 - Elsevier
Wind power is a kind of time-varying time series with fluctuation characteristics. To take full
advantage of the time-varying value provided by wind power fluctuations, a short-term wind …
advantage of the time-varying value provided by wind power fluctuations, a short-term wind …
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
A Meng, H Zhang, H Yin, Z Xian, S Chen, Z Zhu… - Energy, 2023 - Elsevier
Due to the lack of historical data, accurate prediction is a great challenge for newly
constructed wind farms (NWFs). How to guarantee satisfactory prediction accuracy with …
constructed wind farms (NWFs). How to guarantee satisfactory prediction accuracy with …
A novel integrated method for short-term wind power forecasting based on fluctuation clustering and history matching
The intermittent and randomness of wind power poses a great challenge to the safe and
stable operation of power systems. Accurate wind power forecasting is a key to reduce the …
stable operation of power systems. Accurate wind power forecasting is a key to reduce the …
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Wind speed forecasting is of considerable economic and social significance; however, it
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
Wind power forecasting: A hybrid forecasting model and multi-task learning-based framework
Y Tang, K Yang, S Zhang, Z Zhang - Energy, 2023 - Elsevier
Accurate forecasting of wind power is of significance for scheduling the grid system when
wind power is integrated. However, the deficiency of the training data restricts the models' …
wind power is integrated. However, the deficiency of the training data restricts the models' …
High and low frequency wind power prediction based on Transformer and BiGRU-Attention
S Wang, J Shi, W Yang, Q Yin - Energy, 2024 - Elsevier
An accurate and reliable wind power prediction model has important significance for the
operation of power systems and large-scale grid connection. This paper proposes a hybrid …
operation of power systems and large-scale grid connection. This paper proposes a hybrid …