Edition November 10th-11th, 2023
NOI Hackathon SFSCON Edition
Forecast IT
![Forecast IT](/projects/featured-images/image-thumb__2538__projectFeaturedImageFull/prj_image_683_0ceae20a5db1566a95f210497ae099ae.png)
Forecasting and modelling time-series based on the past observations of climate data.
There are seventh time-series data features:
- Gdd, is Growing degree days. Used for example estimate when fruits are ripe.
- pmm, is precipitation in milimeters
- rad, is radiation energy from the sun in kW/m^2
- rad_h, is sun hours for a specific point. How many hours of sun are received for a specific day and point?
- tmax and tmin: Temperature max and min for a day and location
- tmean: mean temperature .
The main research question is: can we predict gdd based on the past observations of the 3 previous day? What error do we get?
Apparently, 11% of error with Random Forest Regressor.
Vdeo: https://vimeo.com/user104317687