| Model Type | Time Series Anomaly Detection |
|---|---|
| Framework | scikit-learn |
| Algorithm | Isolation Forest |
| Technical Details | Univariate time series model trained on historical energy data from the French market. Features include lagged values, rolling statistics, and temporal encodings. Deployed as a serialized .pkl file for scikit-learn-based inference on CPU environments. |
Time Series Anomaly Detection with Isolation Forest
Lightweight anomaly detector for time series data using Isolation Forest, designed for edge environments.
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Time Series Anomaly Detection with Isolation Forest
app details
Resources
Use Cases
Forecasting
Operational Optimization
Supported SECO Devices
AI optimized hardware
Fanless embedded PCs
Modules
supported chipsets
Intel® Core™ i3
Qualcomm® Dragonwing QCS6490
Qualcomm® Dragonwing QCS5430
NXP i.MX 8M Plus
NXP i.MX 95
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
310.07 ms
11.59 MB
CPU
SECO SOM SMARC iMX8Plus
2407 ms
11.59 MB
CPU
SECO SOM-SMARC-MX95
1675 ms
11.59 MB
CPU
SECO Titan 300 TGL-UP3 AI
195.16 ms
11.59 MB
CPU
SECO SOM SMARC iMX8Plus
2425 ms
11.59 MB
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