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Goal is to support other (power) units throughout FlexMeasures, e.g. by converting incoming data to the sensor unit, and outgoing data to the requested unit.
The pint-pandas package doesn't work too nicely with all of the pandas operations we use in timely-beliefs, so instead I propose to use pint on Sensor.unit, instead of on BeliefsDataFrame["event_values"]. I'd also like to keep the Sensor.unit database column as is, i.e. storing the shorthand string representation of units (e.g. MW, m/s and EUR/kWh).
I've identified some issues that would need to be resolved in order for this to work smoothly, solutions for which are all within reach:
Goal is to support other (power) units throughout FlexMeasures, e.g. by converting incoming data to the sensor unit, and outgoing data to the requested unit.
The pint-pandas package doesn't work too nicely with all of the pandas operations we use in timely-beliefs, so instead I propose to use pint on
Sensor.unit
, instead of onBeliefsDataFrame["event_values"]
. I'd also like to keep theSensor.unit
database column as is, i.e. storing the shorthand string representation of units (e.g. MW, m/s and EUR/kWh).I've identified some issues that would need to be resolved in order for this to work smoothly, solutions for which are all within reach:
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