Predicting extreme weather temperatures
Predict the next day's maximum temperature to better prepare for potential disasters.
Welcome to the forefront of extreme weather temperature prediction, where artificial Intelligence (AI) takes center stage, delivering unparalleled accuracy and insights. Extreme weather events, such as heatwaves, cold spells, and storms, have far-reaching consequences on human lives, infrastructure and ecosystems.
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.
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
This use case is based on the "Extreme-Weather Temperature Prediction" dataset from Kaggle.
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.
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
Temperature sensors and generic sensors.
Data
Extrapolation targets Next day maximum air temperature
Signal length 21 (multi sensors)
Data rate Every day
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.
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