Load Sensing Model for Energy-Consuming Industries

Achieve accurate prediction and effective treatment of load risk in this industry. In this study, a risk situational awareness model is designed for high energy consuming industries. The model adds a noise-reducing Bayesian optimized LSTM model to the traditional five steps of situational awareness, situational understanding, situational prediction, situational presentation, and situational guidance, which greatly improves the prediction accuracy of the load situation compared with the traditional long and short-term memory neural network model, and provides a strong guarantee for the load risk identification and processing in the energy-consuming industry.