[D] Best architecture for generating synthetic weather years (8760h)? My VAE is struggling with wind.

Working on a generator for annual climate profiles (solar, wind, temp) at hourly resolution (8760 steps). I’m currently using a Conditional VAE with 1D ResNet blocks and some physics-informed loss functions (spectral, correlation, etc.).

The solar and temp results are okay, but wind is a mess. It’s way too smooth and loses all that high-frequency “noise” and turbulence that makes wind data realistic. VAE just seems to blur everything out over such a long sequence.

Is it worth sticking with VAEs and maybe switching to a Transformer-based backbone (like Informer), or should I just jump to Diffusion or GANs for this? Looking for any advice from people who’ve dealt with long-term time series generation where capturing the “stochastic” nature of the data is critical. Thanks!