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chore: eosdash improve plan display (#739)
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* chore: improve plan solution display

Add genetic optimization results to general solution provided by EOSdash plan display.

Add total results.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* fix: genetic battery and home appliance device simulation

Fix genetic solution to make ac_charge, dc_charge, discharge, ev_charge or
home appliance start time reflect what the simulation was doing. Sometimes
the simulation decided to charge less or to start the appliance at another
time and this was not brought back to e.g. ac_charge.

Make home appliance simulation activate time window for the next day if it can not be
run today.

Improve simulation speed.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

---------

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2025-11-08 15:42:18 +01:00
committed by GitHub
parent c50cdd95cb
commit 3599088dce
18 changed files with 1769 additions and 1345 deletions
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39
openapi.json
View File

@@ -2122,7 +2122,7 @@
}
],
"title": "Charge Rates",
"description": "Charge rates as factor of maximum charging power [0.00 ... 1.00]. None denotes all charge rates are available.",
"description": "Charge rates as factor of maximum charging power [0.00 ... 1.00]. None triggers fallback to default charge-rates.",
"examples": [
[
0.0,
@@ -2263,7 +2263,7 @@
}
],
"title": "Charge Rates",
"description": "Charge rates as factor of maximum charging power [0.00 ... 1.00]. None denotes all charge rates are available.",
"description": "Charge rates as factor of maximum charging power [0.00 ... 1.00]. None triggers fallback to default charge-rates.",
"examples": [
[
0.0,
@@ -5921,6 +5921,15 @@
"title": "Total Costs Amt",
"description": "The total costs [money amount]."
},
"fitness_score": {
"items": {
"type": "number"
},
"type": "array",
"uniqueItems": true,
"title": "Fitness Score",
"description": "The fitness score as a set of fitness values."
},
"prediction": {
"$ref": "#/components/schemas/PydanticDateTimeDataFrame",
"description": "Datetime data frame with time series prediction data per optimization interval:- pv_energy_wh: PV energy prediction (positive) in wh- elec_price_amt_kwh: Electricity price prediction in money per kwh- feed_in_tariff_amt_kwh: Feed in tariff prediction in money per kwh- weather_temp_air_celcius: Temperature in \u00b0C- loadforecast_energy_wh: Load mean energy prediction in wh- loadakkudoktor_std_energy_wh: Load energy standard deviation prediction in wh- loadakkudoktor_mean_energy_wh: Load mean energy prediction in wh"
@@ -5937,6 +5946,7 @@
"total_losses_energy_wh",
"total_revenues_amt",
"total_costs_amt",
"fitness_score",
"prediction",
"solution"
],
@@ -7585,6 +7595,31 @@
"title": "Max Soc Percentage",
"description": "An integer representing the maximum state of charge (SOC) of the battery in percentage.",
"default": 100
},
"charge_rates": {
"anyOf": [
{
"items": {
"type": "number"
},
"type": "array"
},
{
"type": "null"
}
],
"title": "Charge Rates",
"description": "Charge rates as factor of maximum charging power [0.00 ... 1.00]. None denotes all charge rates are available.",
"examples": [
[
0.0,
0.25,
0.5,
0.75,
1.0
],
null
]
}
},
"additionalProperties": false,