Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
Wind energy has attracted more and more attention due to its sustainability and pollution-
free nature. As wind energy is highly dependent on wind speed, wind speed forecasting is of …
free nature. As wind energy is highly dependent on wind speed, wind speed forecasting is of …
Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting
G Zhang, D Liu - Energy conversion and management, 2020 - Elsevier
Wind speed exhibits different and complex fluctuation characteristics, which makes it
challenging for wind speed forecasting. Decomposition methods have been widely and …
challenging for wind speed forecasting. Decomposition methods have been widely and …
[HTML][HTML] Temporal collaborative attention for wind power forecasting
Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
Multi-source and temporal attention network for probabilistic wind power prediction
H Zhang, J Yan, Y Liu, Y Gao, S Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The temporal dependencies of wind power are significant to be involved in the modeling of
short-term wind power forecasts. However, different time series inputs will contribute …
short-term wind power forecasts. However, different time series inputs will contribute …
Spatiotemporal attention networks for wind power forecasting
X Fu, F Gao, J Wu, X Wei, F Duan - … international conference on …, 2019 - ieeexplore.ieee.org
Wind power is one of the most important renewable energy sources and accurate wind
power forecasting is very significant for reliable and economic power system operation and …
power forecasting is very significant for reliable and economic power system operation and …
Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
This study proposes an effective combined model system for wind speed forecasting tasks.
In this model,(a) improved hybrid time series decomposition strategy (HTD) is developed to …
In this model,(a) improved hybrid time series decomposition strategy (HTD) is developed to …
SWSA transformer: A forecasting method of ultra-short-term wind speed from an offshore wind farm using global attention mechanism
S Lin, J Wang, X Xu, H Tan, P Shi, R Li - Journal of Renewable and …, 2023 - pubs.aip.org
Accurate ultra-short-term wind speed forecasting is great significance to ensure large scale
integration of wind power into the power grid, but the randomness, instability, and non-linear …
integration of wind power into the power grid, but the randomness, instability, and non-linear …
Diffusion‐based conditional wind power forecasting via channel attention
H Peng, H Sun, S Luo, Z Zuo, S Zhang… - IET Renewable …, 2024 - Wiley Online Library
Wind energy is one of the most significant renewable sources of energy while accurate and
reliable wind power forecasting methods may greatly benefit power system planning and …
reliable wind power forecasting methods may greatly benefit power system planning and …
A novel hybrid deep learning model for multi-step wind speed forecasting considering pairwise dependencies among multiple atmospheric variables
The reliable wind speed forecasting is critical for wind farms as it enables them to improve
cost-effectiveness and optimize energy efficiency. In this study, a novel hybrid deep learning …
cost-effectiveness and optimize energy efficiency. In this study, a novel hybrid deep learning …
Short-term wind speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network
G Zhang, Y Zhang, H Wang, D Liu, R Cheng, D Yang - Energy, 2024 - Elsevier
Accurate and reliable short-term wind speed forecasting remains challenging due to the
high volatility and randomness of wind speed. The secondary decomposition (SD) method …
high volatility and randomness of wind speed. The secondary decomposition (SD) method …