d4974e3241
- flexmeasures-entsoe: ENTSO-E data plugin - flexmeasures-weather: Weather data plugin - USEF Flex Trading Protocol PDF (2.4MB) - Cariflex simulator (publishes to Redis) - Dashboard Grafana updated with correct InfluxDB queries - All tools extracted in /tools/
52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
from datetime import timedelta
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"""
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This maps sensor specs which we can use in FlexMeasures to Weather labels.
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Note: Sensor names we use in FM need to be unique per weather station.
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At the moment, we only extract from Weather hourly data.
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"""
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weather_attributes = {
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"daily_seasonality": True,
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"weekly_seasonality": False,
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"yearly_seasonality": True,
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}
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mapping = [
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dict(
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fm_sensor_name="temperature",
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OWM_sensor_name="temp",
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WAPI_sensor_name="temp_c",
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unit="°C",
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event_resolution=timedelta(minutes=60),
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attributes=weather_attributes,
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),
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dict(
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fm_sensor_name="wind speed",
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OWM_sensor_name="wind_speed",
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WAPI_sensor_name="wind_kph",
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unit="m/s",
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event_resolution=timedelta(minutes=60),
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attributes=weather_attributes,
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),
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dict(
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fm_sensor_name="cloud cover",
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OWM_sensor_name="clouds",
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WAPI_sensor_name="cloud",
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unit="%",
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event_resolution=timedelta(minutes=60),
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attributes=weather_attributes,
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),
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dict(
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fm_sensor_name="irradiance", # in save_forecasts_to_db, we catch this name and do the actual computation to get to the irradiance
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OWM_sensor_name="clouds",
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WAPI_sensor_name="cloud",
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unit="W/m²",
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event_resolution=timedelta(minutes=60),
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attributes=weather_attributes,
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),
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]
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