The spatio-temporal wind speed prediction technology provides the key technical support for
the energy management and space allocation of the wind farm. To obtain an accurate spatio …

With the growing focus on renewable energy, wind power is increasingly valued and
advocated. In order to guarantee the stability of wind power system dispatch and …

Although regional wind speed prediction is of great value in the development of wind power,
it is rarely studied in the past years. To fill this gap, we introduce a deep learning method for …

Wind speed prediction with spatio–temporal correlation is among the most challenging tasks
in wind speed prediction. In this paper, the problem of predicting wind speed for multiple …

Leveraging both temporal and spatial correlations to predict wind speed remains one of the
most challenging and less studied areas of wind speed prediction. In this paper, the problem …

Wind energy has received more and more attention around the world since it is a kind of
clean, economical and renewable energy. However, the strong randomness of the wind …

This paper proposes a CNN-LSTM-LightGBM based short-term wind power prediction
method based on the attention mechanism, which contains three main parts: data …

Wind speed has strongly stochastic and fluctuating characteristics that make accurate wind
speed prediction challenging. Traditional hybrid prediction models use future wind speed …

Accurate and efficient short-term wind speed forecasts are critical for maintaining safe and
stable operation of the wind power system. Consequently, a UNet-based fully convolutional …

Prediction of wind speed can provide a reference for the reliable utilization of wind energy.
This study focuses on 1-hour, 1-step ahead deterministic wind speed prediction with only …