EOS/src/akkudoktoreos/prediction/elecprice.py

from typing import Optional

from pydantic import Field

from akkudoktoreos.config.configabc import SettingsBaseModel


class ElecPriceCommonSettings(SettingsBaseModel):
    elecprice_provider: Optional[str] = Field(
        default=None, description="Electicity price provider id of provider to be used."
    )
Improve Configuration and Prediction Usability (#220) * Update utilities in utils submodule. * Add base configuration modules. * Add server base configuration modules. * Add devices base configuration modules. * Add optimization base configuration modules. * Add utils base configuration modules. * Add prediction abstract and base classes plus tests. * Add PV forecast to prediction submodule. The PV forecast modules are adapted from the class_pvforecast module and replace it. * Add weather forecast to prediction submodule. The modules provide classes and methods to retrieve, manage, and process weather forecast data from various sources. Includes are structured representations of weather data and utilities for fetching forecasts for specific locations and time ranges. BrightSky and ClearOutside are currently supported. * Add electricity price forecast to prediction submodule. * Adapt fastapi server to base config and add fasthtml server. * Add ems to core submodule. * Adapt genetic to config. * Adapt visualize to config. * Adapt common test fixtures to config. * Add load forecast to prediction submodule. * Add core abstract and base classes. * Adapt single test optimization to config. * Adapt devices to config. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> 2024-12-15 14:40:03 +01:00			`from typing import Optional`

			`from pydantic import Field`

			`from akkudoktoreos.config.configabc import SettingsBaseModel`


			`class ElecPriceCommonSettings(SettingsBaseModel):`
			`elecprice_provider: Optional[str] = Field(`
Fix config and prediction revamp. (#259) Extend single_test_optimization.py to be able to use real world data from new prediction classes. - .venv/bin/python single_test_optimization.py --real_world --verbose Can also be run with profiling "--profile". Add single_test_prediction.py to fetch predictions from remote prediction providers - .venv/bin/python single_test_prediction.py --verbose --provider-id PVForecastAkkudoktor \| more - .venv/bin/python single_test_prediction.py --verbose --provider-id LoadAkkudoktor \| more - .venv/bin/python single_test_prediction.py --verbose --provider-id ElecPriceAkkudoktor \| more - .venv/bin/python single_test_prediction.py --verbose --provider-id BrightSky \| more - .venv/bin/python single_test_prediction.py --verbose --provider-id ClearOutside \| more Can also be run with profiling "--profile". single_test_optimization.py is an example on how to retrieve prediction data for optimization and use it to set up the optimization parameters. Changes: - load: Only one load provider at a time (vs. 5 before) Bug fixes: - prediction: only use providers that are enabled to retrieve or set data. - prediction: fix pre pendulum format strings - dataabc: Prevent error when resampling data with no datasets. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> 2024-12-16 20:26:08 +01:00			`default=None, description="Electicity price provider id of provider to be used."`
Improve Configuration and Prediction Usability (#220) * Update utilities in utils submodule. * Add base configuration modules. * Add server base configuration modules. * Add devices base configuration modules. * Add optimization base configuration modules. * Add utils base configuration modules. * Add prediction abstract and base classes plus tests. * Add PV forecast to prediction submodule. The PV forecast modules are adapted from the class_pvforecast module and replace it. * Add weather forecast to prediction submodule. The modules provide classes and methods to retrieve, manage, and process weather forecast data from various sources. Includes are structured representations of weather data and utilities for fetching forecasts for specific locations and time ranges. BrightSky and ClearOutside are currently supported. * Add electricity price forecast to prediction submodule. * Adapt fastapi server to base config and add fasthtml server. * Add ems to core submodule. * Adapt genetic to config. * Adapt visualize to config. * Adapt common test fixtures to config. * Add load forecast to prediction submodule. * Add core abstract and base classes. * Adapt single test optimization to config. * Adapt devices to config. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> 2024-12-15 14:40:03 +01:00			`)`