The present disclosure provides a method for measuring energy of natural gas in a full cycle, including obtaining a metering value of the natural gas used by a user in a time period based on a metering device, and determining a consumption amount of natural gas based on the metering value and a pricing scheme.

A method for operating a power consumption metering system and a power consumption metering system are disclosed. In an embodiment a method include measuring, by a sensor deployed at a monitored site, high speed power consumption values over time to obtain a high speed value pattern of power consumption with a resolution of more than 1000 values per second, determining one or more harmonics of the high speed value pattern, measuring, by the sensor, low speed power consumption values over time to obtain a low speed value pattern of the power consumption with a resolution of less than 100 values per second, providing the harmonics and the low speed value pattern to a cloud based data processing system and identifying a status of a power consumer of the monitored site dependent on the measured harmonics and the low speed value pattern.

A meter apparatus and method of operating a removable meter apparatus are described. The meter apparatus includes a tag associated with unique tag identification information and configured to be permanently affixed to a location housing at a unique physical location, and includes a removable meter unit configured to mate with the location housing and receive the tag identification from the tag and report the tag identification to a data manager configured to associate an identifier of the removable meter unit with the tag identification and unique physical location, and associate configuration information for the physical location with the removable meter unit and the tag identification. The unique physical location can comprise a single-space parking location.

An energy meter is configured to determine component waveforms that form a measured waveform. The meter inputs the waveform into one or more entries of a data structure, each entry of the one or more entries of the data structure storing a weight value that is determined based at least in part on values of the data signatures representing the plurality of remote devices, each entry being connected to one or more other entries of the data structure. The meter, for each of the one or more entries, generates an output value by performing an arithmetic operation on the waveform stored at that entry, the arithmetic operation comprising a function of the weight value. The meter identifies, from among the data signatures, one or more particular data signatures that are represented in the waveform. The meter determines, based on the particular data signatures, an operational state of another device.

A system and method is disclosed for monitoring graphite electrodes for use in an electric arc furnace includes receiving an electrode identifiers from a radio frequency identification (RFID) tag reader configured to interrogate RFID tags in the vicinity of an electric arc furnace (EAF), wherein the RFID tags are attached to electrodes. The electrode identifier is associated with EAF data collected from the EAF and the association is stored in a memory. The association is used for generating current and past operating parameters of the electric arc furnace for specific electrodes. Data for each specific electrode used in the EAF can also be collected for determining performance parameters for specific electrodes.

A system including a graphite electrode having a graphite body with first and second opposed ends. The electrode further includes a threaded connector positioned at one of the first or second ends, and a tag coupled to or positioned in the threaded connector, wherein the tag is configured to transmit a signal including information relating to the electrode.

A wireless sensor network at a monitored location can be configured to generate sensor channel(s) of data to assess operational conditions at the monitored location. Inputs based on the sensor channel(s) of data are provided to a host system for analysis of a demand to one or more resources at the monitored location. Response messages can be generated based on the demand analysis and transmitted to actuator(s) at the monitored location to effect an adjustment to the operational conditions.

Smart electric meters configured to perform fast, time-synchronized electrical energy measurements at the consumer-level are disclosed herein. In some embodiments, a smart electric meter includes circuitry configured to measure an electrical value at a location of an end user in a power system. The smart electric meter can further include an atomic clock configured to output a timing signal, and a controller configured to receive (a) the measured electrical value from the circuitry and (b) the timing signal from the atomic clock. The controller can further (a) process the electrical value to generate meter data and (b) generate a time tag based on the timing signal. Then, the controller can associate the time tag with the meter data to generate time-tagged meter data.

An electric energy supply management method includes having a certifier system define a reference electric power profile for an electric apparatus, and having the certifier system provide a device coupled to the electric apparats and to a socket that delivers electric energy provided by an electric energy supplier. The device is associated only to the electric apparatus through the reference electric power profile. The method also includes having a user of the electric apparatus couple the electric apparatus to the socket through the device, and having the device check that the electric apparatus is coupled to the socket by comparing a measured electric power profile of the electric apparatus to the reference electric power profile. If the check has a positive outcome, the method has the device collect measurements about the electric power used by the electric apparatus and certify them as energy consumptions of the electric apparatus.

A method for monitoring power consumption of an appliance within a space is provided. The method includes obtaining a first set of data indicative of power consumption of the appliance during an interval of time and determining a profile indicative of power consumption of the appliance based, at least in part, on the first set of data. The method includes obtaining a second set of data indicative of power consumption of the appliance subsequent to obtaining the first set of data. The method includes determining whether power consumption of the appliance deviates from the profile based, at least in part, on the second set of data. Furthermore, in response to determining power consumption of the appliance deviates from the profile, the method includes providing a notification indicative of power consumption of the appliance deviating from the profile.