7.7.23. HVAC Indoor Temp Forecast

Predict indoor temperature for HVAC control.

7.7.23.1. Overview

This example demonstrates indoor temperature forecasting for HVAC systems. Predicting future temperatures enables predictive control strategies that improve comfort and energy efficiency.

Application: Building automation, smart thermostats, energy management

Task Type: Time Series Forecasting

Data Type: Multivariate (environmental and HVAC parameters)

7.7.23.2. Configuration

common:
  target_module: 'timeseries'
  task_type: 'generic_timeseries_forecasting'
  target_device: 'MSPM0G5187'

dataset:
  dataset_name: 'hvac_indoor_temp_forecast'

training:
  model_name: 'FCST_4k_NPU'
  training_epochs: 50
  batch_size: 32

testing: {}
compilation: {}

7.7.23.3. Running the Example

cd tinyml-modelzoo
./run_tinyml_modelzoo.sh examples/hvac_indoor_temp_forecast/config.yaml

cd tinyml-modelzoo
run_tinyml_modelzoo.bat examples\hvac_indoor_temp_forecast\config.yaml

7.7.23.4. Dataset Details

Input Variables:

Current indoor temperature
Outdoor temperature
HVAC system state
Occupancy (optional)
Time of day
Historical temperature data

Forecast Target:

Future indoor temperature

7.7.23.5. Results

Temperature Prediction Plot:

Indoor Temperature Predictions — Forecast vs actual indoor temperature showing prediction accuracy

On-Device Results:

7.7.23.6. See Also

PMSM Rotor Forecasting - Motor temperature forecasting
Forecasting Example - Forecasting tutorial
Example on GitHub