Data analytics for prediction models of building load information
Analysis of Load Data&Forecasting Models
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- 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
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- 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
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- 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