| Model Type | Time Series Forecasting |
|---|---|
| Framework | PyTorch, ONNX |
| Algorithm | NeuralProphet |
| Technical Details | This application uses NeuralProphet to model and predict environmental and device sensor trends in smart buildings. Ideal for energy efficiency and anomaly detection. Outputs are visualized in real time and can be exported for external automation systems. |
Sensor Forecast – Smart Building
A time-series forecasting model designed to predict sensor data patterns in smart buildings, enabling proactive energy management and maintenance.
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Sensor Forecast – Smart Building
app details
Resources
Use Cases
Time Series
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