Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.