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10 changes: 9 additions & 1 deletion README.md
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Expand Up @@ -64,7 +64,7 @@ In `save_folder` itself:

## Closed-loop workflow

The `closed_loop` package holds the closed-loop short-term optimization (ECMOR 2026). It needs OPM Flow and the `closed-loop` extra:
The `closed_loop` package holds the closed-loop short-term optimization. It needs OPM Flow and the `closed-loop` extra:

```bash
python -m pip install -e .[closed-loop]
Expand All @@ -81,6 +81,14 @@ Inputs:
- `data/closed_loop/`: the two deck templates, the initial and target rates, and the wind power.
- `data/drogon_ensemble/Drogon_Mean/`: the mean Drogon model, with the restart files of its history run that start the loop. The decks read it and `include/` from `data/drogon_ensemble/`.

## ECMOR 26

The results for the ECMOR 2026 paper are not on `main`. They are found in the separate `ecmor` branch of this repository:

```bash
git checkout ecmor
```

## Tests

```bash
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2 changes: 1 addition & 1 deletion src/closed_loop/workflow/README.md
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@@ -1,6 +1,6 @@
# Closed-loop short-term optimization with an RBF proxy

This folder implements the closed-loop workflow of the ECMOR 2026 paper on the Drogon model. The paper is a
This folder implements the closed-loop workflow on the Drogon model. It is a
follow-up to Nilsen et al. (2025), with the coarse-model proxy replaced by an RBF proxy. Each 15-day control
interval goes through five steps:

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