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Information and Signal Processign Lab.

Research

Smart Energy Informatics

Data analytics for prediction models of building load information

Analysis of Load Data&Forecasting Models

    • Research on the dominant factors for load forecasting based on the statistical analysis of the environment variables related with electricity demand data
    • Time series analysis and machine learning based the short/long-term forecasting models
    • Conceptual algorithm to derive the robust/effective load forecasting
    • Load forecasting with selected informative data points
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Information processing for estimation models of EV pattern information

Estimation of EV Station Profile and EV in/out Pattern

  • Research on the estimation of EV station occupancy and individual vehicle in/out pattern
  • Stochastic analysis of the importance variables for driving pattern
  • Individual EV profile estimation model using clustering algorithm and nesting algorithm
  • Estimation based EV pattern analysis according to objective function (cost optimization, valley filling and etc.)
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Appliance energy disaggregation and energy monitoring and information analysis

Energy Disaggregation in room level

    • Disaggregation of room energy such as refrigerator, light, air conditioner, television, etc
    • Monitoring load associated activities of appliances by signal disaggregation
    • Machine learning, probability model based event detection and load classification
    • Application of disaggregation such as monitoring for energy saving, etc.
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Building energy disaggregation for energy monitoring and estimation of disaggregated load

Energy Disaggregation in building level

    • Disaggregation of building energy such as HVAC, light, base load
    • Monitoring load associated activities by signal disaggregation
    • Estimation of disaggregated load in building level
    • Application of disaggregation such as prediction, demand response, etc
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