The following publications are possibly variants of this publication:
- A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecastingMin Ding, Hao Zhou, Hua Xie, Min Wu 0002, Yosuke Nakanishi, Ryuichi Yokoyama. ijon, 365:54-61, 2019. [doi]
- A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unitJianzhou Wang, Qiwei Li, Haipeng Zhang, Ying Wang. eswa, 211:118419, 2023. [doi]
- From Lidar Measurement to Rotor Effective Wind Speed Prediction: Empirical Mode Decomposition and Gated Recurrent Unit SolutionShuqi Shi, Zongze Liu, Xiaofei Deng, Sifan Chen, Dongran Song. sensors, 23(23):9379, December 2023. [doi]
- Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit ModelXiaoyin Liu, Ning Li, Jun Guo, Zhongyong Fan, Xiaoping Lu, Weifeng Liu 0001, Baodi Liu. staeors, 15:7525-7538, 2022. [doi]