Abstract: A classification computing system provides adaptable taxonomies to facilitate user navigation of complex information systems. The classification computer includes a memory and a processor. The processor is configured to receive a collection of file indices from the information server. The processor is configured to apply a taxonomical classification algorithm to the collection to generate a collection of classified file indices. The classified file is associated with at least one taxonomical classification. The processor is further configured to apply a flow algorithm to the collection to generate at least one flow path used to provide a user access to a first subset of taxonomical classifications and restricts access to at least a second subset of taxonomical classifications. The flow path is responsive to user input parameters. The processor is configured to receive a user input parameter. The processor is additionally configured to provide the flow path to the user computing device.

Abstract: Apparatus and associated methods relate to automatically load matching, in time, energy physically generated and transmitted to a consumption location across at least one tracking and processing infrastructure. In an illustrative example, a load pool (LP) may be created based on energy consumed at a physical location at one or more selected time periods. A generation pool (GP) may, for example, be created based on energy generated and physically available for consumption at the physical location during the time periods. Associations may be created, for example, between measurements in the GP of energy generated and transmitted and measurements in the LP of energy consumed. The associations may be created as a function of predetermined privileges associated with the consumption location and generation locations and/or physical transmission links corresponding to the GP during the time periods. Various embodiments may advantageously determine environmental impact based on location and time-based load matching.

Abstract: Apparatus and associated methods relate to automatically load matching, in time, energy physically generated and transmitted to a consumption location across at least one tracking and processing infrastructure. In an illustrative example, a load pool (LP) may be created based on energy consumed at a physical location at one or more selected time periods. A generation pool (GP) may, for example, be created based on energy generated and physically available for consumption at the physical location during the time periods. Associations may be created, for example, between measurements in the GP of energy generated and transmitted and measurements in the LP of energy consumed. The associations may be created as a function of predetermined privileges associated with the consumption location and generation locations and/or physical transmission links corresponding to the GP during the time periods. Various embodiments may advantageously determine environmental impact based on location and time-based load matching.

Abstract: Methods, systems, and apparatus for collect historical power consumption data and power consumption statistics for one or more locations and devices at the location to generate historical power consumption and health data (“historical data”). The historical data are used to develop and provide multiple different protection and monitoring functions. The system may be deployed within a single customer location, e.g., within a building or a plant, and local analytics are developed at the location. Alternatively, the system may be distributed among several locations for a particular customer or multiple different customers and include cloud-based analytics in addition to, or instead of, local analytics.

Abstract: Methods, systems, and apparatus for collect historical power consumption data and power consumption statistics for one or more locations and devices at the location to generate historical power consumption and health data (“historical data”). The historical data are used to develop and provide multiple different protection and monitoring functions. The system may be deployed within a single customer location, e.g., within a building or a plant, and local analytics are developed at the location. Alternatively, the system may be distributed among several locations for a particular customer or multiple different customers and include cloud-based analytics in addition to, or instead of, local analytics.

Abstract: Methods, systems, and apparatus for collect historical power consumption data and power consumption statistics for one or more locations and devices at the location to generate historical power consumption and health data (“historical data”). The historical data are used to develop and provide multiple different protection and monitoring functions. The system may be deployed within a single customer location, e.g., within a building or a plant, and local analytics are developed at the location. Alternatively, the system may be distributed among several locations for a particular customer or multiple different customers and include cloud-based analytics in addition to, or instead of, local analytics.

Abstract: Methods, systems, and apparatus for collect historical power consumption data and power consumption statistics for one or more locations and devices at the location to generate historical power consumption and health data (“historical data”). The historical data are used to develop and provide multiple different protection and monitoring functions. The system may be deployed within a single customer location, e.g., within a building or a plant, and local analytics are developed at the location. Alternatively, the system may be distributed among several locations for a particular customer or multiple different customers and include cloud-based analytics in addition to, or instead of, local analytics.

Abstract: Methods, systems, and apparatus for collect historical power consumption data and power consumption statistics for one or more locations and devices at the location to generate historical power consumption and health data (“historical data”). The historical data are used to develop and provide multiple different protection and monitoring functions. The system may be deployed within a single customer location, e.g., within a building or a plant, and local analytics are developed at the location. Alternatively, the system may be distributed among several locations for a particular customer or multiple different customers and include cloud-based analytics in addition to, or instead of, local analytics.

Abstract: Methods, systems, and apparatus for collect historical power consumption data and power consumption statistics for one or more locations and devices at the location to generate historical power consumption and health data (“historical data”). The historical data are used to develop and provide multiple different protection and monitoring functions. The system may be deployed within a single customer location, e.g., within a building or a plant, and local analytics are developed at the location. Alternatively, the system may be distributed among several locations for a particular customer or multiple different customers and include cloud-based analytics in addition to, or instead of, local analytics.