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.