Visual Analytics of RNN for Thermal Power Control System Identification

Abstract

: Due to the problems such as strong continuity and high complexity of the data generated by the thermal power control process, patterns between strong time-dependent real-valued time series and hidden units is proposed. A case study using real power plant data is conducted to verify the effectiveness of iaRNN in assisting users to understand the working mechanism of the model and diagnose model defects.