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EOS/tests/testdata/docs/_generated/configoptimization.md
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Bobby NoelteandGitHub 7e5aa2f218
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feat: add Tibber feed-in tariff provider (#1189)
The `FeedInTariffTibber` provider requests `priceInfo` and `priceInfoRange` with
`resolution: QUARTER_HOURLY` and preserves the native 15-minute timestamps. It uses Tibber's
`energy` spot-price component without the `tax` part or EOS electricity-price charges. The
end-customer `total` component is deliberately ignored.

The provider deliberately rejects hourly API responses instead of silently repeating them. It
reuses `elecprice.tibber.access_token` and `elecprice.tibber.home_id`, so no duplicate credentials
are needed.

Signed-off-by: Andreas Schmitz <akkudoktor.net>
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2026-07-24 15:52:26 +02:00

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## General Optimization Configuration
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:::{table} optimization
:widths: 10 20 10 5 5 30
:align: left
| Name | Environment Variable | Type | Read-Only | Default | Description |
| ---- | -------------------- | ---- | --------- | ------- | ----------- |
| algorithm | `EOS_OPTIMIZATION__ALGORITHM` | `str` | `rw` | `GENETIC` | The optimization algorithm. Defaults to GENETIC |
| genetic | `EOS_OPTIMIZATION__GENETIC` | `GeneticCommonSettings` | `rw` | `required` | Genetic optimization algorithm configuration. |
| horizon | | `int` | `ro` | `N/A` | Number of optimization steps. |
| horizon_hours | `EOS_OPTIMIZATION__HORIZON_HOURS` | `int` | `rw` | `24` | The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
| interval | `EOS_OPTIMIZATION__INTERVAL` | `int` | `rw` | `3600` | The optimization interval [sec]. Defaults to 3600 seconds (1 hour) |
| keys | | `list[str]` | `ro` | `N/A` | The keys of the solution. |
:::
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**Example Input**
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```json
{
"optimization": {
"horizon_hours": 24,
"interval": 3600,
"algorithm": "GENETIC",
"genetic": {
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
```
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**Example Output**
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```json
{
"optimization": {
"horizon_hours": 24,
"interval": 3600,
"algorithm": "GENETIC",
"genetic": {
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
},
"keys": [],
"horizon": 24
}
}
```
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### General Genetic Optimization Algorithm Configuration
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:::{table} optimization::genetic
:widths: 10 10 5 5 30
:align: left
| Name | Type | Read-Only | Default | Description |
| ---- | ---- | --------- | ------- | ----------- |
| generations | `int | None` | `rw` | `400` | Number of generations to evolve [>= 10]. Defaults to 400. |
| individuals | `int | None` | `rw` | `300` | Number of individuals (solutions) in the population [>= 10]. Defaults to 300. |
| penalties | `dict[str, float | int | str]` | `rw` | `required` | Penalty parameters used in fitness evaluation. |
| seed | `int | None` | `rw` | `None` | Random seed for reproducibility. None = random. |
:::
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**Example Input/Output**
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```json
{
"optimization": {
"genetic": {
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
```
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