I have some datasets: One dataset is comprised of the overall solar energy/wind energy production of a country.

The rest of the datasets contain weather data (temperature, pressure, wind speed, etc.) of multiple locations. All of these datasets have the exact same time stamps.

How do I use the weather data from all of these locations to predict solar energy/wind energy production? I am not sure how to approach this as all of the weather datasets have the same features and timestamps but they belong to different locations.

I have attached a link to the datasets if someone wants to quickly eyeball the datasets.


Thank you for your help!


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.