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
• 

• 
• 

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.)

• 
• 

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.
• 

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
•