A controllable electrical outlet may comprise a resonant loop antenna. The resonant loop antenna may comprise a feed loop electrically coupled to a radio-frequency (RF) communication circuit and a main loop magnetically coupled to the feed loop. The controllable electrical outlet may comprise one or more electrical receptacles configured to receive a plug of a plug-in electrical load and may be configured to control power delivered to the plug-in electrical load in response to an RF signal received via the RF communication circuit. The RF performance of the controllable electrical outlet may be substantially immune to devices plugged into the receptacles (e.g., plugs, power supplies, etc.) due to the operation of the resonant loop antenna. For example, degradation of the RF performance of the controllable electrical outlet may be less when the controllable electrical outlet includes the resonant loop antenna rather than other types of antennas.

A custom outlet module is contained within a housing and has an electric current sensor configured to measure current passing through an electric outlet during a time period, a proximity sensor configured to detect a distance of an object relative to the electric outlet during the time period, a relay switch that can open or close to stop or conduct current through a circuit in the electric outlet in response to a command, and a wireless network interface in communication with the electric current sensor and the proximity sensor, the wireless network interface configured to transmit and receive data from the current sensor and the proximity sensor, to transmit commands to the relay switch, transmit the data to a computing device, and receive commands from the computing device.

Induction powered electrical current monitoring, and related devices, apparatuses, systems, and methods are disclosed. An electricity current monitoring device can include an inductive energy transfer medium, an energy storage device, a power management circuit, and a processing circuit. The inductive energy transfer medium can induce an electromotive force to produce electrical energy that can be stored in the energy storage device. A power management circuit can control storage of the electrical energy in the energy storage device and can control release of the electrical energy from the energy storage device. The processing circuit can measure the electrical current in the monitored energy source based on the fluctuating magnetic field generated by the inductive energy transfer medium. The processing circuit is electrically coupled to the power management circuit to be powered using the electrical energy released from the energy storage device.

Systems, methods, techniques and apparatuses of nested microgrids are disclosed. One exemplary embodiment is a method for removing false data in a nested microgrid system, the method comprising: calculating a first local state estimation using a first plurality of local measurements and a second local state estimation using a second plurality of local measurements; calculating, with a central control system, a plurality of global state estimations including a first global state estimation a second global state estimation; performing a first false data detection test using the first local state estimation and one global state estimation of the plurality of global state estimations; performing a second false data detection test using the first global state estimation and the second global state estimation; detecting false data; and updating the first global state estimation, the second global state estimation, or the first local state estimation in response to detecting the false data.

An energy management system having a fuel cell apparatus (150) as a power generator that generates power using fuel, and an EMS (200) that communicates with the fuel cell apparatus (150). The EMS (200) receives messages that indicate the status of the fuel cell apparatus (150) when normal operation, from the fuel cell apparatus (150).

A forecast engine generates a clear-sky solar power generation level corresponding to a photovoltaic installation that resides within a geographical area. The clear-sky solar power generation level indicates an amount of electricity generated by the photovoltaic installation under clear-sky conditions. The forecast engine also generates a measurement device index corresponding to a measurement device that resides proximate to the photovoltaic installation. The measurement device index indicates an amount of cloud cover present at the location where the measurement device resides. The forecast engine then generates a solar power generation forecast for the geographical area based on the clear-sky solar power generation level and the measurement device index.

Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network (or any other device network). One or more servers coupled to the wireless mesh network configures a data ingestion cloud to receive and process the time series data from the nodes to generate data streams. The server(s) also configure a distributed processing cloud to perform historical analysis on data streams, and a real-time processing cloud to perform real-time analysis on data streams. The distributed processing cloud and the real-time processing cloud may interoperate with one another in response to processing the data streams. Specifically, the real-time processing cloud may trigger a historical analysis on the distributed processing cloud, and the distributed processing cloud may trigger real-time processing on the real-time processing cloud. Any of the processing clouds may encompass edge nodes configured to perform real-time processing and generate data streams.

A communications network for communication between at least one power electronics element and at least one control unit is disclosed. According to one or more embodiments, the communications network can be described as a communications network having parts or portions thereof employing multi-hop and/or hybrid communication.

The present disclosure provides a new and improved method and apparatus of scheduling for a charging infrastructure serving a plurality of electric vehicles. A computer-implemented method for scheduling a charging infrastructure serving a plurality of electric vehicles is provided, in which a prediction for a usage pattern of the charging infrastructure is made with a context based on historical usage patterns of the charging infrastructure and the contexts of the historical usage patterns, and a schedule scheme for deciding a distribution of charging spots of the charging infrastructure among the electric vehicles is determined based on the predicted usage pattern.

A method and system for operating neighbouring microgrids is disclosed. The method includes creating a first set of energy management policies associated with a predefined area and a second set of energy management policies associated with a microgrid. The method includes measuring power usage data associated with predefined area and current charge level of batteries within the predefined area. The method further includes determining future power demand of the predefined area, based on predefined analytics performed on the measured power usage data and the current charge level of the batteries. The method includes adapting the data models of predefined area with the data models used in microgrid and utility operations for seamless integration of operations and to optimize overall operations while complying with local, edge and overall policies. The method includes applying the first set of energy management policies within the predefined area based on the determined future power demand.