项目职责：时环境数据进行匹配，进而预测可能发生的故障。 科研成果 2020.09-至今  投稿英文论文《Wind power interval prediction based on GRU-LUBE》，已发表（CCDC）。 ● 在投 IEEE transaction on Power Systems, 《 Deep ReinForcement Learning Based Energy Storage Management Stratey Considering Prediction Intervals of Wind Power》。 ● 在投 电机工程学报《基于 CNN 和双向 LSTM 模型结合 AdaBoost 算法的风电功率短期预测》。 ● 参与投稿论文 CCDC 两篇 《Data-driven wide-area damping controller design based on improved model-free adaptive control for interconnected power systems》和《Control Strategy Design of PV Grid-Connected System Based on Equivalent Input Disturbance》都已发表。 ● 审稿两篇论文 《Wind Turbine Abnormal Data Identification Based on MKIF Model》和《Prediction of urban energy consumption based on GRU neural network》。