A naïve approach would be to fit a combined model including all three harmonics (24 h, 12 h, 8 h), but this becomes increasingly challenging and potentially overfits the data when exploring multiple candidate periods. I am therefore wondering whether there is a principled way to compare these models beyond visual assessment.
Would you recommend any alternative approaches? For example, comparing predictive performance (e.g., MSPE or similar) or using another information-theoretic or likelihood-based metric?
Best,
Marius