Aries: A Proprietary Medium-Range Weather Prediction Model for the Energy Industry
Medium-range weather forecasting underpins operational and planning decisions across the energy industry. Developing competitive weather models was once the domain of national meteorological centers, but recent advances in machine-learned weather prediction (MLWP) have opened the field to industry. We present Aries, a SwinTransformer-based MLWP model developed at InCommodities. Aries is trained on ERA5 reanalysis data at 0.25\textdegree{} resolution, predicting 74 prognostic and 11 diagnostic atmospheric variables. We evaluate the model on 2025 ECMWF Analysis initializations, ensuring a recent and strictly out-of-sample test period for all models compared. On 10-metre wind speed, Aries ou...
| Authors | Lukas Hedegaard Morsing, Arian Bakhtiarnia, Jonas Lynge Olesen et al. |
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| Primary category | physics.ao-ph |
| Published | 9 September 2026 |
| Last updated at source | 9 September 2026 |
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