Just a quick idea.
To see the problematic areas of your training. After the training is done. I guess that it could be good to cut the time series into slices and compare loss for each time slice. It should show where the model has problems and perhaps ways to improve.
Image generated after one epoch. The plot shows different loss for different times of the year. Could it be that summer time has more energy to turn things around. Making a prediction more difficult?