Abstract: A method of identifying an event associated with consumption of a utility comprising the steps of generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points, detecting a plurality of events within the utility consumption profile, grouping the plurality of events using a clustering process to produce a probability density map, comparing the probability density map to a stored profile of events of a particular type, and identifying the group of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type, wherein the probability density map is compared to a stored profile of an event which is a probability density map.

Abstract: A method and apparatus for storing data regarding parameter values by making a series of measurements of parameter values at times separated by predetermined time intervals, processing the series of measurements of parameter values made at predetermined time intervals to identify events at different times, generating a further series of measurements of parameter values at each of said different times, and storing each of said further series of measurements of parameter values in association with said respective different time.

Abstract: A method and apparatus for carrying out noise reduction in data regarding parameter values including the steps of making a series of measurements of parameter values at times separated by predetermined time intervals, forming a plurality of successive measurements into an array of measurements, performing n successive wavelet transforms on the array of measurements to produce an array of coefficients, comparing the values of the array of coefficients to a threshold value and, selectively changing the values of the coefficients based on their relationship to the threshold, to produce an array of filtered coefficients, and performing n successive inverse wavelet transforms on the array of filtered coefficients to produce an array of filtered measurements.

Abstract: A utility data processing system for processing data relating to consumption of a utility comprises: a fact memory for storage of facts relating to utility consumption received from fact sources, at least one fact source module for deriving facts from utility consumption data and adding the derived facts to the tact memory, an inference module for inferring new facts relating to utility consumption from one or more facts stored in the fact memory, and an interlace module.

Abstract: A method of identifying an event associated with consumption of a utility comprising the steps of generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points, detecting a plurality of events within the utility consumption profile, grouping the plurality of events using a clustering process to produce a probability density map, comparing the probability density map to a stored profile of events of a particular type, and identifying the group of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type, detection wherein the probability density map is compared to a stored profile of an event which is a probability density map.

Abstract: A method of identifying an event associated with consumption of a utility comprises steps of generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points, detecting an event within the utility consumption profile, comparing the detected event to a stored profile of an event, and identifying the detected event within the utility consumption profile when the detected event matches the stored profile of an event, wherein the detected event is compared to a stored profile of an event which stored profile is a probability density map.

Abstract: A method of identifying an event associated with consumption of a utility comprising the steps of: generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points; wherein generating the utility consumption profile comprises the step of determining a gradient of rate of change of utility consumption between consecutive measurement points; identifying measurement points at which a change in gradient exceeds a predetermined threshold; and storing in the utility consumption profile the utility consumption value at measurement points where the threshold is exceeded; and identifying an event within the utility consumption profile that matches the profile of an event stored in a database of utility consumption profiles.

Abstract: A data processing method includes storing data as segments. Data requiring processing is identified. Related data segments are identified and copied to storage in an analysis module. The module reviews the data, identifies required analysis tasks and stores the identified tasks in task storage in the module. The module reviews the tasks to identify required data. The module identifies any required data not stored in the module, and required data is copied to the module. The analysis module executes required task. The module removes executed tasks and updates the data in module storage based on the analysis output. The module reviews data in module storage to identify what analysis must be carried out on the identified data. When an analysis tasks stops, the data store is updated based on the updated module data. The data store comprises storage media and the analysis modules are executed in random access memory.

Abstract: A method and apparatus for storing time series data, in which a data structure is defined comprising a plurality of consecutive slices, each slice corresponding to a time period, time series data is stored in the data structure as runs of time series data entries each having a fixed, predetermined size and being associated with a time, each run of time series data entries comprising a number of consecutive time series data values, wherein each run of time series data is stored in a slice corresponding to the time period of the times associated with the time series data entries of the run, and each run of time series data is associated with metadata identifying the duration of the run and an offset of a start time of the run from a start time of the slice in which the run is stored.

Abstract: A method of operating a nodal data processing system comprising a plurality of nodes connected by communications links, the nodes being arranged in a hierarchical structure having higher and lower levels, wherein data communicated between the nodes is divided into time series data and fact data, time series data is communicated from a node to a node at a higher level in the hierarchy, and fact data is communicated from a node to a node at a lower level in the hierarchy.

Abstract: An Ethernet device able to connect to an Ethernet socket. The Ethernet device comprises a common carrier carrying functional circuitry for at least one function, Ethernet controller circuitry, and contacts for connecting to the Ethernet socket.

Abstract: A utility data processing system for processing data relating to consumption of a utility comprises: a fact memory for storage of facts relating to utility consumption received from fact sources, at least one fact source module for deriving facts from utility consumption data and adding the derived facts to the tact memory, an inference module for inferring new facts relating to utility consumption from one or more facts stored in the fact memory, and an interlace module.

Abstract: A method and apparatus for carrying out noise reduction in data regarding parameter values comprising the steps of, making a series of measurements of parameter values at times separated by predetermined time intervals, forming a plurality of successive measurements into an array of measurements, performing n successive wavelet transforms on the array of measurements to produce an array of coefficients, comparing the values of the array of coefficients to a threshold value and, selectively changing the values of said coefficients based on their relationship to the threshold, to produce an array of filtered coefficients, and performing n successive inverse wavelet transforms on the array of filtered coefficients to produce an array of filtered measurements.

Abstract: A method and apparatus for storing data regarding parameter values by making a series of measurements of parameter values at times separated by predetermined time intervals, processing the series of measurements of parameter values made at predetermined time intervals to identify events at different times, generating a further series of measurements of parameter values at each of said different times, and storing each of said further series of measurements of parameter values in association with said respective different time.

Abstract: Apparatus for monitoring the voltage of electricity supplied on a cable (121) are described. The apparatus includes a sense electrode housed in an electrically-insulative housing to form a capacitive coupling (127) between the sense electrode and the cable. The housing may be of the clamp-on type. A sense capacitor (128) of known capacitance is included, which is electrically coupled to the sense electrode and a local ground. Suitable voltage measurement circuitry (126) is connected to the sense capacitor and is responsive to voltage produced across the sense capacitor to provide an output signal representative of the voltage on the cable. The measured voltage waveform can be filtered to give the fundamental of the supply voltage, which can eliminate or reduce the effects of changes in capacitance within one cycle. A secondary capacitive (130) coupling can be formed with a related neutral wire (122) to improve stability of the voltage waveform measurement.