Data for: Application of Cost-Sensitive LSTM in Water Level Prediction for Nuclear Reactor Pressurizer

data: Normalized data sampled from a nuclear power plant simulator, including pressurizer water level and other six parameters according to the transient process of increasing reactor power from 30% to 90%.
code: including CSLSTM, LSTM and SVR models in two experiment settings, i.e. global learning setting and local learning setting.

数据集：采样自核电厂模拟器（nuclear power plant simulator）的归一化数据，涵盖对应反应堆功率从30%提升至90%的暂态过程中的稳压器水位及其他六项参数。代码：包含两种实验设置下的CSLSTM、LSTM及SVR模型，即全局学习设置与局部学习设置。