fela-power-grid / config.json
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{
"model_type": "fela_grid_renewable",
"description": "Dual path FNO probabilistic power forecaster for solar and wind, trained on GEFCom2014. Outputs 99 quantiles per hour from weather covariates.",
"architecture": "fno_dual_path",
"framework": "pytorch",
"architectures": [
"FelaGridModel"
],
"auto_map": {
"AutoConfig": "configuration_grid.FelaGridConfig",
"AutoModel": "modeling_grid.FelaGridModel"
},
"default_track": "solar",
"tracks": {
"solar": {
"params": 136780,
"input_steps": 6,
"input_features": 20,
"input_shape": [1, 6, 20],
"weights_safetensors": "solar.safetensors",
"dims": {"Fin": 20, "L": 6, "D": 64, "modes": 3, "nblk": 4, "nq": 99, "arch": "dual"}
},
"wind": {
"params": 311554,
"input_steps": 12,
"input_features": 15,
"input_shape": [1, 12, 15],
"weights_safetensors": "wind.safetensors",
"dims": {"Fin": 15, "L": 12, "D": 96, "modes": 6, "nblk": 3, "nq": 99, "arch": "dual"}
}
},
"num_quantiles": 99,
"quantile_levels_percent": "1..99",
"output_shape": "[batch, 99]",
"output_units": "power as fraction of site rated capacity (0 to 1), 99 monotone quantiles for the center forecast hour",
"preprocessing": "standardize the NWP window per feature; RevIN runs inside the model. See modeling.preprocess_nwp",
"license": "lowdown-labs-lovely-license-1.0"
}