Research on temperature prediction model for key components in highspeed rail electrical cabinets based on LSTM
The temperature status of key components in high-speed rail electrical cabinets directly impacts the safety and reliability of train operations. To achieve accurate temperature prediction and early warning, this paper proposes a temperature prediction model based on Long Short-Term Memory (LSTM) networks. Addressing th...