Direct interval forecast of uncertain wind power based on recurrent neural networks

Z Shi, H Liang, V Dinavahi - IEEE Transactions on Sustainable …, 2017 - ieeexplore.ieee.org
Interval forecast is an efficient method to quantify the uncertainties in renewable energy
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …
被引用次数：187 相关文章
[PDF] ualberta.ca

[PDF][PDF] Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

Z Shi, H Liang, V Dinavahi - 2018 - era.library.ualberta.ca
Interval forecast is an efficient method to quantify the uncertainties in renewable energy
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …

Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

Z Shi, H Liang, V Dinavahi - 2019 IEEE Power & Energy …, 2019 - ieeexplore.ieee.org
Interval forecast is an efficient method to quantify the uncertainties in renewable energy
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …
[PDF] archive.org

[PDF][PDF] Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

Z Shi, H Liang, V Dinavahi - scholar.archive.org
Interval forecast is an efficient method to quantify the uncertainties in renewable energy
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …

[引用][C] Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

Z Shi, H Liang, V Dinavahi - IEEE Transactions on …, 2018 - ui.adsabs.harvard.edu
Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks -
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