Abstract: Provided is a system and method for economic virtuous cycle simulation based on an artificial intelligence (AI) twin. The system for economic virtuous cycle simulation based on an AI twin includes an AI twin initial training unit configured to perform initial training on an AI twin model and learn initial parameters using an economic model, an AI twin optimization training unit configured to perform optimization tuning on the initial parameters of the AI twin model using past data collected in an initially trained model, an AI twin generating unit configured to generate an AI twin based on a learning model, and an AI twin operation unit configured to acquire an index for economic prediction to update the AI twin and perform an AI twin-based simulation.

Abstract: An apparatus/method for extracting multiple features from time series data collected from a plurality of sensors and for performing transfer learning on them. There is provided an apparatus including: a multi-feature extraction unit for extracting multiple features from a data stream for each sensor inputted from the plurality of sensors; a transfer-learning model generation unit for extracting useful multi-feature information from a learning model which has finished pre-learning, for the multiple features for forwarding the extracted multi-feature information to a multi-feature learning unit to generate a learning model that performs transfer learning on the multiple features; and the multi-feature learning unit for receiving learning variables from the learning model for each of the multiple features and for performing parallel learning for the multiple features, to calculate and output a loss. In addition, there is provided an apparatus for detecting leaks in plant pipelines.