Schneider Electric Usa, Inc.

Power Measurement Ltd.

Shaun Hope

Anthony R Gray

Jon Andrew Bickel

Peter C Cowan

John C Van Gorp

Matthew Stanlake

Tom Hughes

A system, method, and computer program product for predicting operation for physical systems with distinct operating modes uses observable qualities of the system to predict other qualities of the system. Independent variables including temperature or production volume are observed to determine the degree to which a dependent modeled variable, including energy load, is influenced. Partition variables representing operating conditions of the dependent variables are defined as discrete values. Reference datasets with coincident values of the dependent variable, independent variable, and partition variables are received, and models are created for each discrete value of the partition variables in the reference dataset. Each model is populated with the values of the dependent variable and the independent variable. The dependent variable is modeled as a function of the independent variable. Model accuracy is evaluated by processing new input data to generate output data that includes values of the coincident dependent variable, the independent variable, and the partition variable from the input dataset.

System and method of modeling and monitoring an energy load

A system and methods for automatically configuring a monitoring device that is attachable to a network coupled to a data collection system. The network has associated network parameters. The monitoring device is coupled to an energy distribution system. The monitoring device measures a characteristic of energy supplied by the energy distribution system and stores data representative of the measured characteristics. A first network communications link is automatically established between the monitoring device and the network, and a host server is contacted to identify network parameters including an address of the data collection system. A second network communications link is automatically established between the monitoring device and the data collection system based on the address of the data collection system. Nameplate and configuration information associated with the monitoring device is communicated from the monitoring device over the network to the data collection system. The registration of the monitoring device in the data collection system is acknowledged based on acceptance of the nameplate information and the configuration information by the data collection system.

Automatic registration of meters to a centralized data system

A method of graphically representing values of at least one selected parameter at multiple monitoring points in a utility system, comprises receiving data measured at the multiple monitoring points; determining the values of the selected parameter at the multiple monitoring points, based on the received data, and using the values to generate a graphical representation of the values of the selected parameter at the multiple monitoring points, the graphical representation including shapes having (1) sizes representative of the magnitudes of the values and (2) locations representative of the hierarchy of the monitoring points. In one application, the selected parameter is at least one of electrical power and energy consumed in portions of an electrical power distribution system that correspond to the multiple monitoring points.

Graphical representation of utility monitoring system having multiple monitoring points

A method and system for establishing a load model () that utilizes a measurement from a second monitor () to estimate a value taken by a first monitor (). A base load value associated with a load () is collected. The load model () is applied to the base load value, yielding an estimated load value. The estimated load value is representative of at least one measured load value for the load ().

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Alameda, CA, United States of America

Shaun Hope