Predicting extreme weather temperatures
Predict the next day's maximum temperature to better prepare for potential disasters.
By harnessing the potential of AI, we can now unlock the ability to forecast with an unprecedented level of precision and advance notice to prepare, adapt and mitigate risks associated with several weather events or to optimize business operations.
Approach
The goal was to predict the next day's maximum air temperature using 21 values including the current day's min and max temperature, latitude, longitude, elevation, slope, and solar radiation.
We used NanoEdge AI Studio to create an Extrapolation project based on these inputs that could achieve this goal.
Sensor
Data
Signal length 21 (multi sensors)
Data rate Every day
Results
Extrapolation:
90.18% accuracy, 0.4 Kbytes of RAM, 3.6 Kbytes of Flash memory
Resources
Model created with NanoEdge AI Studio
A free AutoML software for adding AI to embedded projects, guiding users step by step to easily find the optimal AI model for their requirements.
The STM32 family of 32-bit microcontrollers based on the Arm Cortex®-M processor is designed to offer new degrees of freedom to MCU users. It offers products combining very high performance, real-time capabilities, digital signal processing, low-power / low-voltage operation, and connectivity, while maintaining full integration and ease of development.