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!