In this paper, we propose a power prediction method based on the prediction of the cluster output pattern. We use the spatio-temporal graph neural network to ...
Oct 2, 2023 · Abstract: Accurate and timely ultra-short-term wind farm cluster power forecasting is significant for real-time dispatch and frequency ...
Jan 21, 2024 · To make up for these deficiencies, this paper proposes an ultra-short-term wind farm cluster power forecasting model based on power fluctuation ...
A power prediction method based on the prediction of the cluster output pattern of wind farm cluster power pattern is proposed, which uses the ...
This article proposes an ultra-short-term wind farm cluster power forecasting model based on power fluctuation pattern recognition and spatio-temporal graph ...
Mar 1, 2024 · In this paper, a method of ultra-short-term deterministic and probability prediction of wind farm cluster power based on Graph Convolutional ...
In this paper, a novel spatial-temporal attention graph convolutional network model is proposed. Firstly, the spatial attention mechanism is used to aggregate ...
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What are the different models of wind power forecasting?
This paper proposes a wind power probability density prediction method based on a time-variant deep feed-forward neural network (ForecastNet) considering a ...
Apr 3, 2024 · Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method.
Accurately predicting the active power output of offshore wind power is of great significance for reducing the uncertainty in new power systems.