Abstract: A system includes a processor and a non-transitory, computer-readable memory that includes instructions executable by the processor for causing the processor to perform operations. The operations include accessing premises consumption data of a premises in a power distribution network. The premises consumption data includes an indication of premises resource consumption over a period of time. The operations also include applying a machine-learning model to the premises consumption data. The machine-learning model is trained to generate an output corresponding to an electric vehicle classification of the premises. Further, the operations include generating the electric vehicle classification of the premises using the output of the machine-learning model and controlling power generation of the power distribution network based on the electric vehicle classification of the premises.

Abstract: Technologies for implementing edge intelligence for utility communication networks are provided. For example, a system includes a mesh network and a utility fog configured to manage the mesh network. The utility fog includes a secure utility system configured for executing a private utility application and a first edge intelligence device configured for executing a first subset of software applications. Each software application is configured to manage endpoints in the mesh network or process data collected by the mesh network. The mesh network includes the endpoints and an edge intelligence device configured for executing a second subset of the software applications that is different from the first subset of software applications.

Abstract: A system for detecting the topology and phase information of an electrical power distribution system is provided. For example, the system includes a group of meters connected to an electrical power distribution system and can communicate with each other through local network connections such as a mesh network. Each of the meters is configured to generate and transmit voltage data to a correlator of the group of meters. The correlator calculates the correlations between each pair of meters in the group based on the voltage data received and further transmits the calculated correlations to a mapper through the mesh network. The mapper determines the topological or phase relationship between at least the group of meters based on the received correlations.

Abstract: Technologies for implementing edge intelligence for utility communication networks are provided. For example, a system includes a mesh network and a utility fog configured to manage the mesh network. The utility fog includes a secure utility system configured for executing a private utility application and a first edge intelligence device configured for executing a first subset of software applications. Each software application is configured to manage endpoints in the mesh network or process data collected by the mesh network. The mesh network includes the endpoints and an edge intelligence device configured for executing a second subset of the software applications that is different from the first subset of software applications.

Abstract: An implementation of a utility meter is connected to a resource and to a customer premises. The utility meter includes a sensor, a converter, and a radio. The sensor is configured to detect a characteristic of resource usage by the customer premises. The converter is configured to convert the characteristic to raw consumption data describing the resource usage. The radio is configured to transmit the raw consumption data output by the converter to a remote processing system. The remote processing system includes one or both of a fog and a cloud. The fog is associated with a geographic region of the utility meter and performs data processing on the raw consumption data and on regional raw consumption data received from other endpoints in the geographic region. The cloud performs data processing on the raw consumption data as well as on data received from other endpoints across various geographic regions.

Abstract: Technologies for implementing edge intelligence for utility communication networks are provided. For example, a system includes a mesh network and a utility fog configured to manage the mesh network. The utility fog includes a secure utility system configured for executing a private utility application and a first edge intelligence device configured for executing a first subset of software applications. Each software application is configured to manage endpoints in the mesh network or process data collected by the mesh network. The mesh network includes the endpoints and an edge intelligence device configured for executing a second subset of the software applications that is different from the first subset of software applications.

Abstract: A utility meter has a multiprocessor architecture including (i) a microprocessing unit (MPU) for executing multiple software applications and (ii) another processing unit for performing core metrology functions in real time. For instance, the utility meter includes a metrology engine, an MPU, and one or more metrology applications. The metrology engine measures consumption of a resource and generates consumption data based on the consumption of the resource. The metrology engine includes a metrology processor, a dedicated memory, and a real-time operating system run by the metrology processor to enable the metrology engine to run time-critical metrology functions in real time. The MPU is coupled to the metrology processor and includes one or more processor cores. The MPU runs the one or more metrology applications over a primary operating system of the MPU, and the one or more metrology applications utilize the consumption data.

Abstract: A method for responding to a voice activated request includes receiving a speech input request from a smart speaker requesting energy management data associated with energy consumption at a premises of the smart speaker. The method also includes generating a voice service request including a first query for a first data source. The first query includes a request for the energy management data. Additionally, the method includes communicating the first query to the first data source and receiving a first response to the first query from the first data source. Further, the method includes generating an audible speech output in response to the speech input request based on the first response to the first query and transmitting the audible speech output to the smart speaker. The smart speaker audibly transmits the audible speech output.

Abstract: A system for detecting the topology and phase information of an electrical power distribution system is provided. For example, the system includes a group of meters connected to an electrical power distribution system and can communicate with each other through local network connections such as a mesh network. Each of the meters is configured to generate and transmit voltage data to a correlator of the group of meters. The correlator calculates the correlations between each pair of meters in the group based on the voltage data received and further transmits the calculated correlations to a mapper through the mesh network. The mapper determines the topological or phase relationship between at least the group of meters based on the received correlations.

Abstract: A method described herein is performed by a utility meter lacking an integrated display. The method includes measuring consumption of a resource and, further, generating consumption data based on measuring the consumption of the resource. Via a communication device, the utility meter wirelessly connects directly to an external device having a display. The utility meter verifies that the external device is authorized to access the utility meter. The utility meter transmits the consumption data to the external device to utilize the display of the external device as an interface to the utility meter. The utility meter receives an instruction via manual entry at the display of the external device, and the utility meter executes the instruction.

Abstract: A method described herein is performed by a utility meter lacking an integrated display. The method includes measuring consumption of a resource and, further, generating consumption data based on measuring the consumption of the resource. Via a communication device, the utility meter wirelessly connects directly to an external device having a display. The utility meter verifies that the external device is authorized to access the utility meter. The utility meter transmits the consumption data to the external device to utilize the display of the external device as an interface to the utility meter. The utility meter receives an instruction via manual entry at the display of the external device, and the utility meter executes the instruction.

Abstract: A utility meter has a multiprocessor architecture including (i) a microprocessing unit (MPU) for executing multiple software applications and (ii) another processing unit for performing core metrology functions in real time. For instance, the utility meter includes a metrology engine, an MPU, and one or more metrology applications. The metrology engine measures consumption of a resource and generates consumption data based on the consumption of the resource. The metrology engine includes a metrology processor, a dedicated memory, and a real-time operating system run by the metrology processor to enable the metrology engine to run time-critical metrology functions in real time. The MPU is coupled to the metrology processor and includes one or more processor cores. The MPU runs the one or more metrology applications over a primary operating system of the MPU, and the one or more metrology applications utilize the consumption data.

Abstract: A method for responding to a voice activated request includes receiving a speech input request from a smart speaker requesting energy management data associated with energy consumption at a premises of the smart speaker. The method also includes generating a voice service request including a first query for a first data source. The first query includes a request for the energy management data. Additionally, the method includes communicating the first query to the first data source and receiving a first response to the first query from the first data source. Further, the method includes generating an audible speech output in response to the speech input request based on the first response to the first query and transmitting the audible speech output to the smart speaker. The smart speaker audibly transmits the audible speech output.

Abstract: A method for responding to a voice activated request includes receiving a speech input request from a smart speaker requesting energy management data associated with energy consumption at a premises of the smart speaker. The method also includes generating a voice service request including a first query for a first data source. The first query includes a request for the energy management data. Additionally, the method includes communicating the first query to the first data source and receiving a first response to the first query from the first data source. Further, the method includes generating an audible speech output in response to the speech input request based on the first response to the first query and transmitting the audible speech output to the smart speaker. The smart speaker audibly transmits the audible speech output.

Abstract: A service node performs computational tasks or other operations on behalf of a meter or other network device. A meter may collect data regarding electric parameters associated with an electric distribution network. When analysis of the collected data is required, the meter may determine that it requires the resources of a service node. The meter may send a request to a directory node to identify a service node or it may send a request seeking a service node. The service node performs the analysis and sends the results of the analysis back to the meter. The service nodes supports the dynamic distributed processing of analytic services.

Abstract: An energy allocation system may include a group of agents, each agent corresponding to a device requesting an amount of energy. The energy allocation system may perform a comparison, such as a hybridized comparison, between a selected agent and each other agent included in the group. Based on the outcome of each comparison for the selected agent, an aggregated outcome for the selected agent is determined. The aggregated outcome for the selected agent is compared to a threshold for the energy allocation system. Based on the comparison of the aggregated outcome to the threshold, the selected agent either receives the requested amount of energy or receives an instruction to enter a low-power state.

Abstract: A service node performs computational tasks or other operations on behalf of a meter or other network device. A meter may collect data regarding electric parameters associated with an electric distribution network. When analysis of the collected data is required, the meter may determine that it requires the resources of a service node. The meter may send a request to a directory node to identify a service node or it may send a request seeking a service node. The service node performs the analysis and sends the results of the analysis back to the meter. The service nodes supports the dynamic distributed processing of analytic services.

Abstract: An energy allocation system may include a group of agents, each agent corresponding to a device requesting an amount of energy. The energy allocation system may perform a comparison, such as a hybridized comparison, between a selected agent and each other agent included in the group. Based on the outcome of each comparison for the selected agent, an aggregated outcome for the selected agent is determined. The aggregated outcome for the selected agent is compared to a threshold for the energy allocation system. Based on the comparison of the aggregated outcome to the threshold, the selected agent either receives the requested amount of energy or receives an instruction to enter a low-power state.

Abstract: A service node performs computational tasks or other operations on behalf of a meter or other network device. A meter may collect data regarding electric parameters associated with an electric distribution network. When analysis of the collected data is required, the meter may determine that it requires the resources of a service node. The meter may send a request to a directory node to identify a service node or it may send a request seeking a service node. The service node performs the analysis and sends the results of the analysis back to the meter. The service nodes supports the dynamic distributed processing of analytic services.

Abstract: A method for responding to a voice activated request includes receiving a speech input request from a smart speaker requesting energy management data associated with energy consumption at a premises of the smart speaker. The method also includes generating a voice service request including a first query for a first data source. The first query includes a request for the energy management data. Additionally, the method includes communicating the first query to the first data source and receiving a first response to the first query from the first data source. Further, the method includes generating an audible speech output in response to the speech input request based on the first response to the first query and transmitting the audible speech output to the smart speaker. The smart speaker audibly transmits the audible speech output.