A measurement device, such as a power meter or power submeter, may comprise a frame disposed in a housing dividing an interior volume of the housing into a first volume and a second volume. An external power source is connected to the device in the first volume and the frame may serve as an insulative barrier between the first volume and an exterior it and the housing. The device may alternatively, or additional include, an user interface assembly that is configured to mounted in a same orientation regardless of an orientation of the device or housing of a device relative to the external power source.

A system for energy metering with temperature monitoring.

A system for verifying an energy generation source, includes a key forming device that forms a key in a DC voltage signal generated by the energy generation source, and a verifying device that verifies the energy generation source based on the key in the DC voltage signal.

A power exchange includes an energy exchange server and a plurality of exchange controllers, each exchange controller communicatively coupled to an interconnect socket adapter, wherein the energy exchange server receives a real-time energy consumption data set, a real-time energy production data set, a set of environmental parameters and a starting energy price, and generates a current aggregate electricity demand value as a function of the real-time energy consumption data set and the environmental parameters, a current aggregate electricity supply value as a function of the real-time energy production dataset and the environmental parameters, and a current energy price as a function of the starting energy price, the current aggregate electricity demand value, and the current aggregate electricity supply value.

Devices, methods and systems for meter setup verification are provided. In one aspect, a device is provided including a communication interface and at least one processor. The communication interface receives a wiring setup configuration of at least one electronic power meter and at least one measured and/or calculated parameter from the at least one electronic power meter. The at least one processor determines if the at least one electronic power meter is wired correctly based on the wiring setup configuration of the at least one electronic power meter and the at least one measured and/or calculated parameter from the at least one electronic power meter. The device may be implemented in a separate client device or in the at least one electronic power meter.

According to aspects of the disclosure, a sensing system includes at least one sensor configured to provide an output signal indicative of a sensed property, an interface configured to be coupled to a computing device, and a processor coupled to the interface, the processor being configured to provide, to the computing device via the interface, a first Transducer Electronic Data Sheet (TEDS) template indicative of a first variable of the sensed property, and provide, to the computing device via the interface, a second TEDS template indicative of a second variable of the sensed property.

A system for managing grid interaction with an energy storage device includes an energy exchange server, a plurality of energy storage devices, a plurality of interconnect socket adapters, and a plurality of energy exchange controllers, each energy exchange controller coupling to one of the plurality of interconnect socket adapters and dictating energy consumption based on energy pricing data received from the energy exchange server. Each interconnect socket adapter electrically couples to the power grid, one or more energy sinks, and an energy storage device, and the energy exchange server receives a real-time energy consumption data set, a real-time energy production data set, a set of environmental parameters and a starting energy price, and generates a current aggregate electricity demand value as a function of the real-time energy consumption data set and the environmental parameters, a current aggregate electricity supply value as a function of the real-time energy production dataset and the environmental parameters, and a current energy price as a function of the starting energy price, the current aggregate electricity demand value, and the current aggregate electricity supply value.

A system for measuring electrical consumption includes an assembly with electronic display subassemblies located on a housing. Each electronic display subassembly has an electronic display layer and an illumination device. The electronic components, including a video player, for operating the assembly are in electronic communication with the electronic display subassemblies. A simulated electric meter is in electrical connection with a utility electric supply and the electronic components. The simulated electric meter includes a processor, an electronic storage device, a current sensor, and a timing device.

An electricity meter assembly includes a meter and a module assembly. The meter includes a meter cavity, at least one electrical component within the meter cavity, and a module compartment having a module cavity. The module compartment is within the meter cavity and the meter cavity is isolated from the module cavity. The module assembly includes at least one supplemental board configured to supplement the at least one electrical component. The module assembly is removably positioned within the module cavity such that the module assembly is field-removable, and wherein the module assembly is hot pluggable with the meter.

A technique for energy sample forecasting of heating, venting and air conditioning-refrigeration (HVAC-R) systems is disclosed. In an example, a first expected energy sample of a HVAC-R system at a first time period is forecasted by modelling actual energy samples of the HVAC-R system at previous time periods using a statistically-based seasonal-autoregressive integrated moving average (SARIMA) model. Further, an anomaly is detected at the first time period when deviation between the first expected energy sample and an actual energy sample at the first time period is greater than a dynamic context sensitive threshold. Also, an expected energy sample at next time period is forecasted by modelling a second expected energy sample of the HVAC-R system at the first time period using the statistically-based SARIMA model upon detecting anomaly. The second expected energy sample is forecasted by modelling the actual energy samples at the previous time periods using a physical model.