A method for classifying a plurality of luminaires based on respective sensor data captured at respective locations of the plurality of luminaires that are arranged for illuminating a plurality of spaces, the method comprising: obtaining the respective sensor data for the plurality of luminaires , the respective sensor data for each luminaire comprising respective one or more time series of sensor values that each represent a respective environmental characteristic at the respective location of said plurality of spaces as a function of time for a respective one of the plurality of luminaires , assigning at least one of the plurality of luminaires into one of two or more predefined luminaire classes based on variation of the sensor values in the respective one or more time series of sensor values in the sensor data obtained for the respective luminaire characterized in that said assigning comprises deriving, for each of the plurality of luminaires , based on at least one time series of sensor values included in the sensor data obtained for the respective luminaire (120-k), a respective change rate parameter that is descriptive of a change rate of sensor values in said at least one time series of sensor values, and assigning at least one of the plurality of luminaires into one of said two or more predefined luminaire classes based on the change rate parameter derived for the respective one of the plurality of luminaires , wherein said one or more time series of sensor values included in the sensor data obtained from the respective luminaire (120-k) represents at least one of the following environmental characteristics: carbon dioxide level, respective volatile organic compound, VOC, level for one or more VOCs, humidity, air pressure. obtaining the respective sensor data for the plurality of luminaires , the respective sensor data for each luminaire comprising respective one or more time series of sensor values that each represent a respective environmental characteristic at the respective location of said plurality of spaces as a function of time for a respective one of the plurality of luminaires , assigning at least one of the plurality of luminaires into one of two or more predefined luminaire classes based on variation of the sensor values in the respective one or more time series of sensor values in the sensor data obtained for the respective luminaire characterized in that said assigning comprises deriving, for each of the plurality of luminaires , based on at least one time series of sensor values included in the sensor data obtained for the respective luminaire (120-k), a respective change rate parameter that is descriptive of a change rate of sensor values in said at least one time series of sensor values, and assigning at least one of the plurality of luminaires into one of said two or more predefined luminaire classes based on the change rate parameter derived for the respective one of the plurality of luminaires , deriving, for each of the plurality of luminaires , based on at least one time series of sensor values included in the sensor data obtained for the respective luminaire (120-k), a respective change rate parameter that is descriptive of a change rate of sensor values in said at least one time series of sensor values, and assigning at least one of the plurality of luminaires into one of said two or more predefined luminaire classes based on the change rate parameter derived for the respective one of the plurality of luminaires , wherein said one or more time series of sensor values included in the sensor data obtained from the respective luminaire (120-k) represents at least one of the following environmental characteristics: carbon dioxide level, respective volatile organic compound, VOC, level for one or more VOCs, humidity, air pressure. <EOS>