Standout Papers

Deep learning based ensemble approach for probabilistic wind power forecasting 2016 2026 2019 2022 529
  1. Deep learning based ensemble approach for probabilistic wind power forecasting (2016)
    Huaizhi Wang, Gangqiang Li et al. Applied Energy

Immediate Impact

3 from Science/Nature 53 standout
Sub-graph 1 of 20

Citing Papers

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
2024 Standout
Optimizing classification of diseases through language model analysis of symptoms
2024 Standout
2 intermediate papers

Works of Hui Jiang being referenced

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network
2017
Deep learning based ensemble approach for probabilistic wind power forecasting
2016 Standout

Author Peers

Author Last Decade Papers Cites
Hui Jiang 1342 470 507 63 1.8k
Yitao Liu 2093 626 623 90 2.7k
Mingjian Cui 1665 705 406 67 2.0k
İlhami Çolak 1320 678 360 103 1.9k
Jianhua Zhang 1151 591 284 54 1.9k
Sheraz Aslam 1201 656 355 78 1.9k
Zhou Wu 1079 617 440 105 2.5k
Shady S. Refaat 1295 580 315 77 1.8k
Jianchun Peng 2069 684 856 60 2.6k
Hasmat Malik 1260 647 529 165 2.0k
Rizk M. Rizk‐Allah 631 489 773 79 1.7k

All Works

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