# Quickstart: FELA Grid Renewable

A minimal example that loads the forecaster, runs one weather input window, and prints the
P10 to P90 power band for the first forecast hour. It runs on CPU; no GPU is required.

## Install

Pinned versions, runs from a clean virtual environment:

```
pip install -r requirements.txt
```

## Get the weights

The safetensors weights ship in the model repo (`solar.safetensors`, `wind.safetensors`).
`--weights` defaults to the track's safetensors file, or point it at a local path.

## Run

Solar (default):

```
python run.py --track solar --weights /path/to/solar.safetensors
```

Wind:

```
python run.py --track wind --weights /path/to/wind.safetensors
```

The script loads with the bundled `modeling.load_model` (a few line load) and preprocesses
the window with `modeling.preprocess_nwp`, which standardizes it and validates the shape
(it fails clearly on the wrong shape).

## What you should see

The script prints the output shape `(1, 99)` and, for the center forecast hour,
the P10 (low), P50 (median), and P90 (high) power levels as a fraction of site capacity,
plus the width of the P10 to P90 uncertainty band. Input shapes are solar `(1, 6, 20)`,
wind `(1, 12, 15)`.

The example uses a random input window so it runs without a data download. Replace it with
a real NWP window (the same shape) to get a real forecast.