Documentation
Consumption Behaviour
Require: IP-Symcon >= 6.0
The module calculates the probable consumption for the period based on an outdoor temperature variable and a meter variable using linear regression. The more values are available for the outdoor temperature and the meter, the more accurately the expected consumption can be determined.
functional scope
- Calculates a probable consumption from two variables
Software installation
- Via the Module Store install the 'Consumption Behaviour' module.
Set up instances in IP-Symcon
- Under 'Add Instance' the 'Consumption Behaviour' module can be found using the quick filter.
- More information about adding instances in the Instances documentation
Configuration Page:
| name | description |
|---|---|
| Variable for outdoor temperature | Logged variable for outdoor temperature |
| Variable for counter | Logged variable for counter |
| Period | Period for which the calculation is to be performed |
| Limit | Maximum number of records to be used for the regression. 0 = No limit |
| Interval | Time interval of the timer in which the variable should be calculated again |
| Calculate | Button to recalculate the variable |
For the counter variable, there must be at least 2 records for 3 consecutive periods for a calculation to take place. For period day, the hourly aggregation of the variables is used. For all other periods the daily aggregation of the variables is used.
status variables
The status variables/categories are created automatically. Deleting individual ones can lead to malfunctions.
Status variables
| Name | Type | Description |
|---|---|---|
| Expectation of current period | float | Displays the expected consumption based on the outdoor temperature of the current period |
| Expectation of the last period | float | Displays the expected consumption based on the outdoor temperature of the last period |
| Extrapolation of the current period | float | Displays the extrapolated consumption of the current period |
| Extrapolation of the last period | float | Displays the extrapolated consumption of the last period |
| Value of the current period | float | Displays the current consumption of the current period |
| Value of the last period | float | Displays the consumption of the last period |
| Percent of the current period | float | Shows how far the extrapolated consumption differs from the expected value in percent |
| Percent of the last period | float | Shows how far the extrapolated consumption differs from the expected value in percent |
| Coefficient of determination of the current period | float | Accuracy of the expectation calculation of the current period |
| Coefficient of determination of the last period | float | Accuracy of the expectation calculation of the last period |
Mathematical formulas
Expectation is calculated using simple linear regression. Mathematically Explained. Here the sum of the positive result is calculated from the calculation m temperature average (depending on the period) b. m and b are determined by the linear regression.
The extrapolation again consists of the average value of the period multiplied by the period length.