Reports
How to use:
- Choose a forecasting model
- Select a campus to view its data
Model
Campus
Line Chart - Interactive
Showing Actual vs Predicted Electricity Consumption
Essential Details of Public School Dataset
Public School Cleaned Data Distribution
Distribution of cleaned data points across different Public Schools
Public School 1: 81
Public School 2: 57
Public School 4: 55
Public School 5: 78
Public School 6: 55
Public School 7: 71
Public School 8: 14
Public School 9: 56
Spearman Correlation Results
View the correlation matrix showing the statistical relationships between different variables used in the forecasting model.
Exogenous Variables
Environmental and demographic factors used in the forecasting model
Weather Parameters
| Variables | Units |
|---|---|
| Wind Speed | meters per second (m/s) |
| Relative Humidity | percent (%) |
| Temperature Mean | degrees Celsius (°C) |
| Temperature Max | degrees Celsius (°C) |
| Temperature Min | degrees Celsius (°C) |
| Wind Direction | degrees (° from true north) |
| Rainfall | millimeters (mm) |
Population Data
| Variable | Description |
|---|---|
| Total Population | Total residents per public school catchment area |
Note: These exogenous variables provide crucial environmental and demographic context that influences electricity consumption patterns across different public school locations.