Predicting Belgium’s future solar PV generation: Part II
This is part two of a two-part series. Part one covered collecting and processing the data, then assessing the forecasts in the dataset. It also contains the link to the dataset and repo. This part covers my predictions, using machine learning.
Intro OK, we’ve looked at the data, and we’ve seen how accurate their predictions are/were. Can I do any better?
I’m taking three approaches: SARIMA, TensorFlow, and Prophet.
A quick aside: Why do we want to predict the future energy generation? There are a number of reasons.
