With the development of AMM (Automatic Metering Management), it will be possible for electric power suppliers to acquire from the customers their electric power consumption up to every second. This will generate data arriving in multiple, continuous, rapid, and time-varying data streams. Data Stream Management Systems (DSMS) - currently available as prototypes - aim at facilitating the management of such data streams. This paper describes an experimental study which analyzes the advantages and limitations of using a DSMS for the management of electric power consumption data.