Abstract: A method for evaluating a building signature operational model (BSOM) associated with a building signature intelligent electronic device (BSIED) includes processing building signature operational data (BSOD) on a cloud-connected central processing unit to identify the BSIED from which the BSOD was received, and to determine if a current BSOM associated with the BSIED, and used by the BSIED to generate the BSOD, needs to be updated. In response to determining that the current BSOM needs to be updated, a new BSOM is selected for the BSIED from a BSOM library based, at least in part, on one or more characteristics associated with the BSIED. The new BSOM is transmitted to the BSIED for installation on the BSIED.

Abstract: A method for evaluating a building signature operational model (BSOM) associated with a building signature intelligent electronic device (BSIED) includes processing building signature operational data (BSOD) on a cloud-connected central processing unit to identify the BSIED from which the BSOD was received, and to determine if a current BSOM associated with the BSIED, and used by the BSIED to generate the BSOD, needs to be updated. In response to determining that the current BSOM needs to be updated, a new BSOM is selected for the BSIED from a BSOM library based, at least in part, on one or more characteristics associated with the BSIED. The new BSOM is transmitted to the BSIED for installation on the BSIED.

Abstract: A method for evaluating a building signature operational model (BSOM) associated with a building signature intelligent electronic device (BSIED) includes processing building signature operational data (BSOD) on a cloud-connected central processing unit to identify the BSIED from which the BSOD was received, and to determine if a current BSOM associated with the BSIED, and used by the BSIED to generate the BSOD, needs to be updated. In response to determining that the current BSOM needs to be updated, a new BSOM is selected for the BSIED from a BSOM library based, at least in part, on one or more characteristics associated with the BSIED. The new BSOM is transmitted to the BSIED for installation on the BSIED.

Abstract: A load monitoring system for a facility includes a computer system configured to execute a model of the object, the model configured to estimate a state of the object as a function of measured values of at least one characteristic of the object, receive at least one measured value of the at least one characteristic of the object, and execute, by the computer system, the model to compute an estimated state of the object.

Abstract: A load monitoring system for a facility includes a computer system configured to execute a model of the object, the model configured to estimate a state of the object as a function of measured values of at least one characteristic of the object, receive at least one measured value of the at least one characteristic of the object, and execute, by the computer system, the model to compute an estimated state of the object.

Abstract: A method for evaluating a building signature operational model (BSOM) associated with a building signature intelligent electronic device (BSIED) includes processing building signature operational data (BSOD) on a cloud-connected central processing unit to identify the BSIED from which the BSOD was received, and to determine if a current BSOM associated with the BSIED, and used by the BSIED to generate the BSOD, needs to be updated. In response to determining that the current BSOM needs to be updated, a new BSOM is selected for the BSIED from a BSOM library based, at least in part, on one or more characteristics associated with the BSIED. The new BSOM is transmitted to the BSIED for installation on the BSIED.

Abstract: A load monitoring system for a facility includes a computer system configured to execute a model of the object, the model configured to estimate a state of the object as a function of measured values of at least one characteristic of the object, receive at least one measured value of the at least one characteristic of the object, and execute, by the computer system, the model to compute an estimated state of the object.

Abstract: A system for representing power system information to a user includes a processor configured to receive data descriptive of logical elements including data descriptive of a first logical element and a second logical element, receive data descriptive of devices including data descriptive of a first device, receive data descriptive of measured characteristics of the devices including data descriptive of a first measured characteristic of the first device, receive data mapping the first device to the first logical element for a first period of time, receive data mapping the first device to the second logical element for a second period of time, receive data requesting at least one summary value for the first logical element over a period of time spanning the first period of time and the second period of time, calculate, in response to receiving the data requesting the at least one summary value.

Abstract: A system for representing power system information to a user includes a processor configured to receive data descriptive of logical elements including data descriptive of a first logical element and a second logical element, receive data descriptive of devices including data descriptive of a first device, receive data descriptive of measured characteristics of the devices including data descriptive of a first measured characteristic of the first device, receive data mapping the first device to the first logical element for a first period of time, receive data mapping the first device to the second logical element for a second period of time, receive data requesting at least one summary value for the first logical element over a period of time spanning the first period of time and the second period of time, calculate, in response to receiving the data requesting the at least one summary value.

Abstract: A system for representing power system information to a user includes a processor configured to receive data descriptive of logical elements including data descriptive of a first logical element and a second logical element, receive data descriptive of devices including data descriptive of a first device, receive data descriptive of measured characteristics of the devices including data descriptive of a first measured characteristic of the first device, receive data mapping the first device to the first logical element for a first period of time, receive data mapping the first device to the second logical element for a second period of time, receive data requesting at least one summary value for the first logical element over a period of time spanning the first period of time and the second period of time, calculate, in response to receiving the data requesting the at least one summary value.

Abstract: A load monitoring system for a facility includes a computer system configured to execute a model of the object, the model configured to estimate a state of the object as a function of measured values of at least one characteristic of the object, receive at least one measured value of the at least one characteristic of the object, and execute, by the computer system, the model to compute an estimated state of the object.

Abstract: A method of acquiring data and performing calculations on the data using a provider service. A provider ticket service (PTS) receives tickets from one or more clients. Each ticket includes a calculation identifier and a payload. The calculation identifier identifies a calculation to be performed using information in the payload. The PTS associates a unique ticket identifier with each ticket. A ticket manager submits a selected ticket from the PTS to a provider host service (PHS), which determines which provider is to perform the calculation identified by the selected ticket by inspecting provider identification information in the selected ticket. The PHS launches a provider host thread (PHT) that invokes the provider determined to perform the calculation identified by the calculation identifier of the selected ticket. The provider performs the calculation and returns its result to the PHS, which passes the result back to the PTS, which returns the result to the requesting client.

Abstract: A method of acquiring data and performing calculations on the data using a provider service. A provider ticket service (PTS) receives tickets from one or more clients. Each ticket includes a calculation identifier and a payload. The calculation identifier identifies a calculation to be performed using information in the payload. The PTS associates a unique ticket identifier with each ticket. A ticket manager submits a selected ticket from the PTS to a provider host service (PHS), which determines which provider is to perform the calculation identified by the selected ticket by inspecting provider identification information in the selected ticket. The PHS launches a provider host thread (PHT) that invokes the provider determined to perform the calculation identified by the calculation identifier of the selected ticket. The provider performs the calculation and returns its result to the PHS, which passes the result back to the PTS, which returns the result to the requesting client.

Abstract: An application for determining energy drivers is disclosed. The application analyzes quantity metadata and energy usage data to determine at least one relationship. The quality of the relationship between quantity metadata and energy usage data is further assessed. Based on the determined relationship and the assessed quality, the energy driver is identified.

Abstract: An Enterprise Energy Management (“EEM”) software system is disclosed that displays EEM data and allows a user to interact with the data to better understand and manage their electrical system. The EEM software system collects real-time, near real-time and historical input data from various data sources, creates useful information from that data by filtering and isolating relevant data and performing analytics on the data, displays that data to the user in an easy to understand format, and allows the user to interact with the displayed data. The EEM software allows the user to perform what-if analysis, make changes in their system and verify results of those changes. The graphical user interfaces provide context sensitive and relevant guidance to novice and expert users.

Abstract: A power management architecture for an electrical power distribution system, or portion thereof, is disclosed. The architecture includes multiple intelligent electronic devices (“IED's”) distributed throughout the power distribution system to manage the flow and consumption of power from the system. The IED's are linked via a network to back-end servers. Power management application software and/or hardware components operate on the IED's and the back-end servers and inter-operate via the network to implement a power management application. The architecture provides a scalable and cost effective framework of hardware and software upon which such power management applications can operate to manage the distribution and consumption of electrical power by one or more utilities/suppliers and/or customers which provide and utilize the power distribution system. Security mechanisms are further provided which protect and otherwise ensure the authenticity of communications.

Abstract: A power management architecture for an electrical power distribution system, or portion thereof, is disclosed. The architecture includes multiple intelligent electronic devices (“IED's”) distributed throughout the power distribution system to manage the flow and consumption of power from the system. The IED's are linked via a network to back-end servers. Power management application software and/or hardware components operate on the IED's and the back-end servers and inter-operate via the network to implement a power management application. The architecture provides a scalable and cost effective framework of hardware and software upon which such power management applications can operate to manage the distribution and consumption of electrical power by one or more utilities/suppliers and/or customers which provide and utilize the power distribution system.

Abstract: An application for determining energy drivers is disclosed. The application analyzes quantity metadata and energy usage data to determine at least one relationship. The quality of the relationship is further assessed. Based on the determined relationship and the assessed quality, the energy driver is identified.

Abstract: An Enterprise Energy Management (“EEM”) software system is disclosed that displays EEM data and allows a user to interact with the data to better understand and manage their electrical system. The EEM software system collects real-time, near real-time and historical input data from various data sources, creates useful information from that data by filtering and isolating relevant data and performing analytics on the data, displays that data to the user in an easy to understand format, and allows the user to interact with the displayed data. The EEM software allows the user to perform what-if analysis, make changes in their system and verify results of those changes. The graphical user interfaces provide context sensitive and relevant guidance to novice and expert users.

Abstract: A power management architecture for an electrical power distribution system, or portion thereof, is disclosed. The architecture includes multiple intelligent electronic devices (“IED's”) distributed throughout the power distribution system to manage the flow and consumption of power from the system. The IED's are linked via a network to back-end servers. Power management application software and/or hardware components operate on the IED's and the back-end servers and inter-operate via the network to implement a power management application. The communications between the IED's and the back-end servers are facilitated through network security devices such as firewalls.