Key Research
      Theme Institutes
      Introduction of Key Research
      Theme Institutes
      Overall Project E
      AI Energy Solution
      Overall Project E (AI Energy Solution)
      Development of AI energy solutions that apply new methodologies such as explainable artificial intelligence, topology and multivariate models, not existing methodologies
      Research Project Name AI Energy Solution
      Overall Director
      BongKyun.Go / LAMP Professor
      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
      Explainable AI-based energy demand prediction and efficiency optimization Apply explainable artificial intelligence(XAI) to explore factors affecting energy demand and optimize energy efficiency
      E-2
      Research on neutrino and proton decay using Super-Kamiokande detector Development of AI energy solution techniques for data analysis of Super-Kamiokande experiment
      E-3
      Research on development of multivariate model for renewable energy analysis Research on envelope model and composition ratio data analysis method for the evaluation of renewable energy such as Solar, Wind, and Biomass
      E-5
      Optimizing dynamic location of urban energy systems using data science Using data science, propose optimal energy infrastructure deployment model for electric vehicle charging station, data center, etc
      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