Landis+gyr Innovations, Inc.

Landis+gyr Technology, Inc.

Matthew Donald Karlgaard

Justin Clifford Matthews

Michael Sean Holcombe

Govind Kharangate

Keith Mario Torpy

James Randall Turner

David Decker

Ruben E Salazar Cardozo

Nikhil Tanwani

Bahadur Singh Rathore

John Radgowski

Christopher Sean Calvert

Anthony Joseph Besett

A computer-implemented method includes assigning, by a peak management system, a peak resource management schedule to a first premises and a second premises within a resource distribution network. The peak resource management schedule includes a first peak consumption period and a first limited resource consumption period for the first premises and a second peak consumption period and a second limited resource consumption period for the second premises, where the first peak consumption period and the second peak consumption period are different. The method also includes transmitting, by the peak management system, a peak resource management signal to the first premises and the second premises. The peak resource management signal includes instructions to commence execution of the peak resource management schedule at the first premises and the second premises.

Peak consumption management for resource distribution system

An electricity meter includes: a plurality of first electrical metrology components including a first load busbar, a first line current transducer positioned around the first load busbar, a first DER busbar, and a first DER current transducer positioned around the first DER busbar; and a plurality of second electrical metrology components including a second load busbar, a second line current transducer positioned around the second load busbar, a second DER busbar, and a second DER current transducer positioned around the second DER busbar. The first electrical metrology components and the second electrical metrology components are arranged in the electricity meter so that the first electrical metrology components are positioned on a first side of the electricity meter and the second electrical metrology components are positioned on a second side of the electricity meter that is non-overlapping with the first side of the electricity meter.

Meter for use with a distributed energy resource

Technologies for autonomously determining location information of a network node in a mesh network are provided. For example, a mesh network includes primary nodes whose locations are known and secondary nodes whose locations are to be determined. A secondary node is configured to identify in-range primary nodes among the primary nodes that are in the communication range of the secondary node, and determine whether the number of the in-range primary nodes is above a threshold. If the number of the in-range primary nodes is above the threshold, the secondary node further determines a distance between the secondary node and each of selected in-range primary nodes, and calculates a location of the secondary node based on the distances and the respective locations of the selected in-range primary nodes. The secondary node further transmits the calculated location to a headend system over the mesh network.

Autonomous geographical location determination using mesh network

In some aspects, a channel hopping sequence for communication on a mesh network is generated. The hopping sequence may include multiple channels assigned to respective positions in the hopping sequence. In some cases, a first channel is assigned to a first position such that the first channel may transmit communications in a first transmission mode, such as a low-bandwidth transmission mode. In addition, an additional channels adjacent to the first channel is also assigned to the first position such that the combination of the first channel and additional channel may transmit communications in a second transmission mode, such as a high-bandwidth transmission mode. In some cases, a whitelist is determined based on the assigned channels. The whitelist may indicate channels that do not conflict with the assigned channels during transmission of a communication. In addition, channels may be assigned to the hopping sequence based on the whitelist.

Channel hopping sequence generation with variable channel width

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.

Dynamic processing distribution for utility communication networks

A method is provided to transmit a message over a wireless mesh network. According to the method, a node connects to a second node by a first communications band and a second communications band, such that the node is configured to communicate with the second node over both the first communications band and the second communications band. The node identifies a message for transmission to the second node. The node determines that the second node is capable of receiving the message by way of the first communications band and is capable of receiving the message by way of the second communications band. The node dynamically determines a selected communications band, from the first communications band and the second communications band, to use to transmit the message to the second node over the wireless mesh network. The node transmits the message to the second node over the selected communications band.

Growing community of inventors

Nisswa, MN, United States of America

Matthew Donald Karlgaard