Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.

A system of collecting retail consumer electricity kilowatt hour consumption interval data from the electric distribution company meter, on a real-time basis, at a multiple of locations, for the purpose of procuring and billing interval consumption through a wholesale electricity market managed by an independent system operator and billing those costs to specific customers based on their actual electricity consumption intervals. All customer electricity consumption is collected on a universal time interval and transmitted using cellular or wireless communications to a central data center and energy trading desk. When purchases of interval loads are completed for the day, the data server software allocates aggregate electricity costs back to individual customer accounts based on actual interval loads. Customers have access to real-time consumption and corresponding wholesale prices for purposes of curtailing consumption to reduce electricity interval costs. The system includes a billing mechanism for single rate billing on the electric distribution company utility bill.

An apparatus, system and method are provided for detecting purposeful energy diversion in a smart grid network. A transformer monitoring device is configured to measure the amount of electricity supplied by a transformer to a plurality of structures and electric meters are configured to measure electricity usage at each of the plurality of structures. The electric meters transmit signaling containing information regarding measured electricity usage to the transformer monitoring device and the transformer monitoring device transmits signaling to a cloud-based server containing information regarding the amount of electricity supplied by the transformer to the plurality of structures and the measured electricity usage. The cloud-based server is configured to determine based on the received signaling if energy diversion is occurring in the smart grid network.

A smart module can include a housing sized for insertion through an opening of a lighting fixture that is exposed by removal of a door of the light fixture. The smart module can also include a smart meter in the housing. The smart meter can be electrically coupled to an input wire and an output wire. The smart module can further include a light sensor external to the housing that is electrically coupled to the smart meter that changes from a closed state to and open state based on detected light. The light sensor can include a threaded portion extending from a base that receives a locking nut. The locking nut and the base portion are sized for affixing the light sensor in an aperture of the door.

A facility is connected to an electricity utility and includes a plurality of control computer controlled devices and a plurality of devices that is uncontrolled by control computers. An operational status of each of the control computer controlled devices is monitored by a server. The facility has a power meter that provides data representing actual power consumption to the server which is connected via a network to the control computer. The server is configured to determine power consumption of each device in the plurality of controlled devices from operational status data and power consumption data.

In an embodiment of the present disclosure, a method for determining power consumption of a unit of a heating, ventilating, and air conditioning (HVAC) system includes providing conditioned air to the unit from an HVAC unit of the HVAC system. The method also includes receiving power data indicative of a total power consumed by the HVAC unit, receiving airflow data indicative of a rate of the conditioned air received by the unit from the HVAC unit, determining a power consumption of the unit based on the power data and the airflow data, and outputting the power consumption of the unit.

Various embodiments of the teachings herein include a method for determining a criticality of an electrical power distribution grid. An example method includes: providing a machine learning model of the power distribution grid fitted to smart meter data representing a power consumption of customers connected via a distribution transformer to conducting equipment of a substation of the power distribution grid and fitted to data representing voltages at selected conducting equipment of the power distribution grid and at the customers' service delivery points; using the provided machine learning model for calculating a grid impact score representing the grid state of the power distribution grid based on power limit violations and/or based on voltage limit violations; and evaluating the calculated grid impact score to determine the criticality of the electrical power distribution grid.

A monitoring device, system and method are provided for in-home/on-premises monitoring of usage of utilities, such as electricity and other services. The monitoring device receives information from a smart meter, and displays usage through a display, illuminating an area using a color indicative of the current cost of consumption, and varying the illuminated area at a rate indicative of a rate of consumption or other metric, the varying of the illuminated area simulating movement in the display. The display provides a consumer with at a glance visual information on current usage. Optionally a digital display screen provides detailed alphanumeric and graphical information, through a number of selectable display modes. One or more devices may be networked, and interface directly or indirectly with a transceiver of a smart metering system, or a retrofit transceiver for a conventional meter. Monitoring of other utilities and services may alternatively or additionally be provided.

A system for indicators of power meters.

A watt-hour meter may include one or more electrical junction points that interface a Distributed Energy Resource to an energy-consuming structure and to the electrical distribution grid, while maintaining compliance with interconnection requirements for safety, power quality and automatic disconnect capabilities