convert units to MW

Signed-off-by: Victor Garcia Reolid <victor@seita.nl>

documentation/features/scheduling.rst

@@ -45,7 +45,7 @@ With the flexibility context, we aim to describe the system in which the flexibl
      - Description 
    * - ``inflexible-device-sensors``
      - ``[3,4]``
-     - Power sensors that are relevant, but not flexible, such as a sensor recording rooftop solar power connected behind the main meter, whose production falls under the same contract as the flexible device(s) being scheduled. * Note:* For now, the inflexible-device-sensors need to have MW units. 
+     - Power sensors that are relevant, but not flexible, such as a sensor recording rooftop solar power connected behind the main meter, whose production falls under the same contract as the flexible device(s) being scheduled.
    * - ``consumption-price-sensor``
      - ``5``
      - The sensor that defines the price of consuming energy. This sensor can be recording market prices, but also CO₂ - whatever fits your optimization problem.

flexmeasures/data/models/planning/tests/conftest.py

@@ -145,15 +145,15 @@ def inflexible_devices(db, building) -> dict[str, Sensor]:
         name="PV power sensor",
         generic_asset=building,
         event_resolution=timedelta(hours=1),
-        unit="kW",
+        unit="MW",
         attributes={"capacity_in_mw": 2},
     )
     db.session.add(pv_sensor)
     residual_demand_sensor = Sensor(
         name="residual demand power sensor",
         generic_asset=building,
         event_resolution=timedelta(hours=1),
-        unit="kW",
+        unit="MW",
         attributes={"capacity_in_mw": 2},
     )
     db.session.add(residual_demand_sensor)

flexmeasures/data/models/planning/utils.py

@@ -178,7 +178,7 @@ def get_power_values(
     beliefs_before: datetime | None,
     sensor: Sensor,
 ) -> np.ndarray:
-    """Get measurements or forecasts of an inflexible device represented by a power sensor.
+    """Get measurements or forecasts of an inflexible device represented by a power sensor in MW.
 
     If the requested schedule lies in the future, the returned data will consist of (the most recent) forecasts (if any exist).
     If the requested schedule lies in the past, the returned data will consist of (the most recent) measurements (if any exist).
@@ -208,12 +208,14 @@ def get_power_values(
         )
         df = df.fillna(0)
 
+    series = convert_units(df.values, sensor.unit, "MW")
+
     if sensor.get_attribute(
         "consumption_is_positive", False
     ):  # FlexMeasures default is to store consumption as negative power values
-        return df.values
+        return series
 
-    return -df.values
+    return -series
 
 
 def fallback_charging_policy(