mirror of
https://github.com/Akkudoktor-EOS/EOS.git
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Bobby NoelteandGitHub
894790f577
Add a PV forecast provider that calculates the forecast using a PVLib system model and weather forecast from the EOS weather forecast provider. Additional module and inverter models can be easily added as the database is build from PVLib and SAM databases and a bundled csv file. The module model and inververt model names are provided by new endpoints to be used in configuration. The provider is based on the fantastic work of EMHASS. See https://github.com/davidusb-geek/emhass/blob/master/src/emhass/forecast.py A short description of the provider is added to the documentation. Besides the new features there are the fixes and improvements: * feat: improve EOSdash config page * fix: kex_to_series for start_datetime Make key_to_series always start the series at start_datetime. * fix: default provider for GENETIC and GENETIC0 optimization To make the default less dependent on internet servers (with API changes and availability issues) the default for PVForecast is set to PVForecastPVLib and for ElecPrice to ElecPriceFixed. The default weather provider is changed to OpenMeteo. * fix: EOSdash display resampled prediction values Make EOSdash display resampled prediction values where resampling fits to the prediction value type. Use bar width that fits to 15 minutes value samples. * chore: add a UI hints system to EOSdash The UI hints system eases the definition of forms for configuration items. There are also forms for items in maps and lists. These forms allow to add and delete items to/ from maps and lists. The forms ensure that all required fields of newly added items are filled. * chore: Create an enum for valid optimization algorithms * chore. Make config also provide the available energy management modes. Used for configuration hints. * chore: Randomize default device id in configuration Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
222 lines
6.9 KiB
Markdown
222 lines
6.9 KiB
Markdown
## General Optimization Configuration
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<!-- pyml disable line-length -->
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:::{table} optimization
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:widths: 10 20 10 5 5 30
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:align: left
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| algorithm | `EOS_OPTIMIZATION__ALGORITHM` | `<enum 'OptimizationAlgorithm'>` | `rw` | `required` | Optimization algorithm [GENETIC | GENETIC0]. Defaults to GENETIC. |
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| algorithms | | `list[str]` | `ro` | `N/A` | Available optimization algorithms. |
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| genetic | `EOS_OPTIMIZATION__GENETIC` | `GeneticCommonSettings` | `rw` | `required` | GENETIC optimization algorithm configuration. |
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| genetic0 | `EOS_OPTIMIZATION__GENETIC0` | `Genetic0CommonSettings` | `rw` | `required` | GENETIC0 optimization algorithm configuration. |
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| keys | | `list[str]` | `ro` | `N/A` | The keys of the solution. |
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:::
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<!-- pyml disable no-emphasis-as-heading -->
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**Example Input**
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```json
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{
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"optimization": {
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"algorithm": "GENETIC",
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"genetic": {
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"interval_sec": 3600,
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"horizon_hours": 24,
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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},
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"genetic0": {
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"horizon_hours": 24,
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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<!-- pyml enable line-length -->
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<!-- pyml disable no-emphasis-as-heading -->
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**Example Output**
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<!-- pyml disable line-length -->
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```json
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{
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"optimization": {
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"algorithm": "GENETIC",
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"genetic": {
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"interval_sec": 3600,
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"horizon_hours": 24,
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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},
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"horizon": 24
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},
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"genetic0": {
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"horizon_hours": 24,
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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},
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"interval_sec": 3600,
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"horizon": 24
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},
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"algorithms": [
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"GENETIC",
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"GENETIC0"
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],
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"keys": []
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}
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}
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```
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<!-- pyml enable line-length -->
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### GENETIC0 Optimization Algorithm Configuration
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<!-- pyml disable line-length -->
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:::{table} optimization::genetic0
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:widths: 10 10 5 5 30
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:align: left
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| Name | Type | Read-Only | Default | Description |
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| ---- | ---- | --------- | ------- | ----------- |
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| generations | `int | None` | `rw` | `400` | Number of generations to evolve [>= 10]. Defaults to 400. |
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| horizon | `int` | `ro` | `N/A` | Number of optimization steps. |
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| horizon_hours | `int` | `rw` | `24` | The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
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| individuals | `int | None` | `rw` | `300` | Number of individuals (solutions) in the population [>= 10]. Defaults to 300. |
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| interval_sec | `int` | `ro` | `N/A` | The optimization interval [sec]. Fixed to 1 hour (3600 seconds). |
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| penalties | `dict[str, float | int | str]` | `rw` | `required` | Penalty parameters used in fitness evaluation. |
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| seed | `int | None` | `rw` | `None` | Random seed for reproducibility. None = random. |
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:::
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<!-- pyml enable line-length -->
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<!-- pyml disable no-emphasis-as-heading -->
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**Example Input**
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<!-- pyml enable no-emphasis-as-heading -->
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<!-- pyml disable line-length -->
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```json
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{
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"optimization": {
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"genetic0": {
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"horizon_hours": 24,
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"individuals": 300,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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<!-- pyml enable line-length -->
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<!-- pyml disable no-emphasis-as-heading -->
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**Example Output**
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<!-- pyml enable no-emphasis-as-heading -->
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<!-- pyml disable line-length -->
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```json
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{
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"optimization": {
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"genetic0": {
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"horizon_hours": 24,
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"individuals": 300,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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},
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"interval_sec": 3600,
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"horizon": 24
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}
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}
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}
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```
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<!-- pyml enable line-length -->
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### GENETIC Optimization Algorithm Configuration
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<!-- pyml disable line-length -->
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:::{table} optimization::genetic
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:widths: 10 10 5 5 30
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:align: left
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| Name | Type | Read-Only | Default | Description |
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| ---- | ---- | --------- | ------- | ----------- |
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| generations | `int | None` | `rw` | `400` | Number of generations to evolve [>= 10]. Defaults to 400. |
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| horizon | `int` | `ro` | `N/A` | Number of optimization steps. |
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| horizon_hours | `int` | `rw` | `24` | The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
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| individuals | `int | None` | `rw` | `300` | Number of individuals (solutions) in the population [>= 10]. Defaults to 300. |
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| interval_sec | `int` | `rw` | `3600` | The optimization interval [sec]. Defaults to 3600 seconds (1 hour) |
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| penalties | `dict[str, float | int | str]` | `rw` | `required` | Penalty parameters used in fitness evaluation. |
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| seed | `int | None` | `rw` | `None` | Random seed for reproducibility. None = random. |
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:::
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<!-- pyml enable line-length -->
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<!-- pyml disable no-emphasis-as-heading -->
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**Example Input**
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<!-- pyml enable no-emphasis-as-heading -->
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<!-- pyml disable line-length -->
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```json
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{
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"optimization": {
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"genetic": {
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"interval_sec": 3600,
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"horizon_hours": 24,
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"individuals": 300,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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<!-- pyml enable line-length -->
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<!-- pyml disable no-emphasis-as-heading -->
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**Example Output**
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<!-- pyml enable no-emphasis-as-heading -->
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<!-- pyml disable line-length -->
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```json
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{
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"optimization": {
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"genetic": {
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"interval_sec": 3600,
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"horizon_hours": 24,
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"individuals": 300,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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},
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"horizon": 24
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}
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}
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}
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```
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<!-- pyml enable line-length -->
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