Figure 5.

Long-term antipsoriatic irradiance forecasting. Results on Nakhon Pathom dataset were shown. (a) Diagram of two approaches for making long-term forecast: developing specific artificial neural network model for making forecast for a specific day that is a certain number of days into the future (left) and autoregressively using the next-day forecast as input for making forecast for the day after that (right). (b) Long-term antipsoriatic irradiance forecasting performance for up to 28 days into the future on the validation set (UV data from 2018) and the test set (UV data from 2019). Performance for SurfUVNet, the regression model based on Earth–Sun distance and total ozone column, and the best CNN-LSTM models were shown.