Use cases
Use Cases for the Forecast App
The Forecast App can be used in numerous practical scenarios where the goal is to predict future values based on historical measurement data. Below you will find typical use cases with a description of the objective, the recommended configuration, and possible extensions.
1. Predict energy consumption
Goal: Forecast future electricity, gas, or water consumption on an hourly or daily basis to optimize energy procurement and detect anomalies at an early stage.
Example configuration:
Asset: Meter (e.g. electricity meter)
Target Attribute: Energy consumption (difference value, not the meter reading)
Feature Attributes:
hour_of_day,day_of_week, outside temperature (optional)Forecast Length: 24 (for 24 hours)
Context Length: 168 (one week as context)
Extensions:
Visualization in the dashboard
Automatic comparison with target values from the Calculator
2. Regulate indoor temperature
Goal: Prediction of room temperature for optimal control of heating, ventilation, or cooling.
Example configuration:
Asset: Room climate sensor
Target Attribute: Temperature
Feature Attributes:
hour_of_day,day_of_week, current window position or CO₂ valuesForecast Length: 12 (for the next 12 time units)
Context Length: 48–72
Extensions:
Combination with rule engine to automate building control
Alerts when planned threshold values are exceeded or not reached
3. Monitor humidity
Goal: Early detection of potential moisture problems by forecasting humidity in critical areas.
Example configuration:
Asset: Sensor in technical room, archive, storage room, etc.
Target Attribute: Humidity
Feature Attributes:
hour_of_day, temperature, air exchange rate (optional)Forecast Length: 6
Context Length: 24
Extensions:
Integration with alarm system
Linkage with ventilation control
4. Forecast utilization of meeting rooms
Goal: Detection of recurring usage patterns for better room planning.
Example configuration:
Asset: Occupancy sensor or occupancy status
Target Attribute: Occupancy (0 or 1)
Feature Attributes:
hour_of_day,day_of_weekForecast Length: 48 (e.g. for the next two days)
Context Length: 96
Extensions:
Linkage with Booking Widget
Display of free time slots on digital door signs
5. Detect technical anomalies
Goal: Indirect prediction of malfunctions, for example in ventilation, pumps, or servers - e.g. through rising temperature or changed power consumption.
Example configuration:
Asset: Technical component with sensors
Target Attribute: Operating temperature or power consumption
Feature Attributes:
hour_of_day, current load, outside temperatureForecast Length: 6
Context Length: 72
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