The KEPCO AI Cluster

Project title

  • Development of XAI(eXplainable AI)-based smart energy platform technology

Funding source

  • Korea Electric Power Corporation (KEPCO)

Duration

  • 2018-03-01 ~ 2021-02-28 (3 years)

Key Areas in Computer Science

  • XAI; Prediction; Anomaly Detection; Security; Visualization

Description

  • This 5-university consortium project aimed to develop the XAI-based smart energy platform technology for the conventional electricity infrastructure. To achieve this, we selected the following six tasks. Task 1: Research on XAI technology that can explain the decision-making process in one-shot/zero-shot learning, and apply to the power domain. Task 2: Development of fundamental deep learning platform for detecting and responding to abnormalities. Task 3: Development of technology for intelligent analysis and monitoring for outlier detection in power facilities. Task 4: Development of technology for malicious code detection and security control for power generation systems. Task 5: Development of technology for analysis and visualization for predicting short-term electric power demand for stable power supply. Task 6: Development of fusion technology combining probability-based models and deep learning models for energy demand forecasting. Our Lab played the role of the PI for the entire cluster, and of performing Task 1.

Recent topics of interests

  • XAI for One-Shot/Zero-Shot Learning
  • Deep Learning Acceleration for Real-Time Power Facility Failure
  • Intelligent Monitoring for Abnormal Detection and Security of Power System
  • Hybrid Deep Learning Model for Energy Demand Prediction