Method and system for predicting temperature of metal from furnace

A method for predicting temperature of metal from a furnace is provided in which multiple sensors are disposed in the furnace. The method includes: obtain a feature from each sensor in a response time range; performing at least feature selection algorithm based on the features in the response time range to extract multiple key features from the features; dividing the response time range into candidate response time range, and for each of the key features performing the feature selection algorithm based on the candidate response time ranges to extract a key response time range therefrom; collecting values of each key feature in the corresponding key response time to build a training data set, and training a machine learning model according to the training data set to predict the temperature of the metal.