A device for detecting energy theft from a utility network configured to access energy data for utilities, generate energy results, identify an outlying utility in the energy results, access behavioral data, determine whether there is a likelihood of energy theft associated with the outlying utility, generate descriptive results from the behavioral data indicating the likelihood of energy theft, receive a response of whether the energy theft occurred, and refine operation of the detecting of energy theft of the device.

A meter reading system, comprising: a monitoring station which monitors a plurality of meters, wherein the meters each include a storage unit which stores data as to usage and/or generation at predetermined intervals and an interface for communication with a meter reader; and a plurality of meter readers which communicate with the monitoring station, and, under control of the monitoring station, each designate the meters to be read and return data read from the meters to the monitoring station; wherein the monitoring station comprises a storage unit which stores data for each of the meters being monitored, and a communications unit which maintains entries for each of the meters for communication to and from the meter readers, the entries each designating the required data to be read from the respective meters; wherein the meter readers each comprise a storage unit which receives the entries for the meters to be monitored thereby, and, on reading the meters, stores the required data, an interface which is connectable to the interfaces of the respective meters and allows for communication with the respective meters, and a communications unit which provides for communication to and from the monitoring station.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for water monitoring are disclosed. A system includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include determining with a leak sensor that a water leak is occurring at a property; after determining that the water leak is occurring at the property, determining that a water usage profile of a particular water consuming device matches characteristics of the water leak; based on determining that the water usage profile of a particular water consuming device matches characteristics of the water leak, identifying a water consuming device that is likely leaking; and in response to identifying the water consuming device that is likely leaking, performing a system action.

A computer implemented method for selecting an appropriately sized meter for use in a selected application implemented by a computer processor implementing instructions stored in a non-transient memory is described. The instructions include receiving utility meter data transmitted from a plurality of utility meters, each utility meter being installed at a unique utility monitoring location, identifying incorrectly sized utility meters based on utility meter data for particular utility meters that displays quantization effects, and selecting an appropriate meter based on the identification of the utility meters displaying quantization effects.

A utility meter includes a meter housing that supports at least one current coil, a temperature sensor, and a processing circuit coupled to both. The current coil can be coupled to receive heat energy from a meter socket. The temperature sensor disposed generates a sensor signal based on a temperature within the meter housing. The processing circuit obtains the sensor signal and generates meter temperature information based at least in part thereon. The processing circuit also obtains a first predetermined threshold based on at least one of time of day information and date information. The processing circuit also determines whether an abnormal condition exists by comparing the meter temperature information to a value based on the first predetermined threshold, and generates an output signal to a memory, display or communication circuit responsive to determining that the abnormal condition exists.

Analysis of smart meter and/or similar data based on frequency content is disclosed. In various embodiments, for each of a plurality of resource consumption nodes a time series data including for each of a series of observation times a corresponding resource consumption data associated with that observation time is received. At least a portion of the time series data, for each of at least a subset of the plurality of resource consumption nodes, is transformed into a frequency domain. A feature set based at least in part on the resource consumption data as transformed into the frequency domain is used to detect that resource consumption data associated with a particular resource consumption node is anomalous.

Analysis of smart meter and/or similar data based on frequency content is disclosed. In various embodiments, for each of a plurality of resource consumption nodes a time series data including for each of a series of observation times a corresponding resource consumption data associated with that observation time is received. At least a portion of the time series data, for each of at least a subset of the plurality of resource consumption nodes, is transformed into a frequency domain. A feature set based at least in part on the resource consumption data as transformed into the frequency domain is used to detect that resource consumption data associated with a particular resource consumption node is anomalous.

A method collects data, a physical or physico-chemical parameter and/or an operating state, during operation of a sensor. The sensor contains a measuring element which provides elementary measuring units, which correspond to a physical or physico-chemical variable or the physical or physico-chemical parameter, as raw measurement data, and the sensor has a communication device and a memory. To determine the measurement resolution of the sensor, the conditions for generating time stamps are first determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated based on the time stamps using the correlation model. Wherein operating state monitoring of the sensor is carried out by comparing current time stamps with historical and/or empirical time stamps.

A system for and methods of monitoring and reporting water consumption is provided. The system includes a sensor for detecting field fluctuations associated with a water meter of a water system. The system detects, tracks, and analyzes fluctuations so as to correlate one or more water event with its source(s), such as by determining a start time, end time, volume, and/or cadence associated with the water event. Information associated with the field fluctuations is parsed out to identify fingerprints associated with a variety of water events. The system includes a decisioning engine for determining one or more course of action following identification of one or more water event. Courses of action include triggering or invoking a variety of system functions, including: providing an alert or other notification; flagging or otherwise reporting information, including budget and/or consumption information; updating a budget; aggregating information; or the like.

An electric power distribution system is used with an electric power source. The electric power distribution system includes a first device exchanging first electric power with the electric power source. The first device exchanges the first electric power with a plurality of second devices and meters first electric energy corresponding to the first electric power. The second devices exchange the first electric power with the first device. Each of the second devices exchanges second electric power as at least part of the first electric power with a number of corresponding electric loads and meter second electric energy corresponding to the second electric power. A processor includes a routine that compares the metered first electric energy from the first device with a sum of the metered second electric energy from each of the second devices, and responsively determines proper or improper operation of the electric power distribution system.