Key Research
      Theme Institutes
      Introduction of Key Research
      Theme Institutes
      Overall Project E
      AI Energy Solution Research
      Overall Project E (AI Energy Solution)
      Development of AI energy solutions using new methodologies such as interpretable artificial intelligence, topological mathematics, and multivariate models, rather than existing methodologies
      Research Project Name AI Energy Solution
      Overall Director
      BongKyun.Go / LAMP Full-Time Faculty
      Research Field (Sub-Field) Applied Mathematics (Artificial Intelligence / Machine Learning)
      Research Goal Improve energy efficiency and productivity based on AI technology
      Research Content
      Creativity of Research Content Development of AI energy solutions using new methodologies such as interpretable artificial intelligence, topological mathematics, and multivariate models, rather than existing methodologies
      Key Research Content Description of Overall Project
      · Energy demand forecasting and efficiency optimization
      · Improve energy production and management methods
      · AI energy solution nuclear power technology development
      Detailed Research Content by Specific Research Project
      E-1
      Energy Demand Forecasting and Efficiency Optimization Based on Explainable Artificial Intelligence Explore factors affecting energy demand and optimize energy efficiency by applying explainable artificial intelligence (XAI).
      E-2
      Neutrino and Proton Decay Research
      Using the Super-Kamiokande Detector       Development of AI energy solution techniques for data analysis of the Super-Kamiokande experiment.
      E-3
      Research on Development of Multivariate Models
      for Renewable Energy Analysis       Research on envelope models and compositional data analysis methods for evaluating renewable energy such as solar, wind, and biomass.
      E-5
      Dynamic Location Optimization of Urban Energy Systems Using Data Science Proposal of a model for optimal energy infrastructure deployment within cities such as electric vehicle charging stations and data centers using data science.
      Expected Effects
      01
      Efficient energy management
      · Reduces energy consumption and saves costs by predicting energy demand and optimizing it efficiently using explainable artificial intelligence
      02
      Strengthened nuclear safety
      · Detects neutrino and proton decay through Super-Kamiokande detector research and enhances the safety of energy facilities
      03
      Increased renewable energy
      · Predicts and increases renewable energy generation by researching methodologies for analysing renewable energy generation using multivariate models
      04
      Industrial and socio-economic benefits
      · The application of AI energy solutions creates industrial and socio-economic benefits, simultaneously promoting the nation's economic development and energy efficiency.
      05
      Environmental protection and climate change response
      · Contributes to environmental protection and climate change response through energy efficiency and increased renewable energy