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》。