Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining controls to be applied to a population of devices. In one aspect, a method comprises: determining a plurality of simulated load curves, wherein each simulated load curve simulates load generated by a respective device from a population of devices based on application of a respective control from a set of controls; adjusting values of a plurality of weights during a plurality of optimization iterations using an optimization technique to optimize a loss function, wherein each weight corresponds to a respective simulated load curve, wherein the loss function measures: a sparsity of the values of the plurality of weights, and an error between: (i) an aggregate load curve that is defined by combining the simulated load curves in accordance with the values of the plurality of weights, and (ii) a target load curve.

A controller for actuating a load includes first and second supply connections. The first supply connection is connected to a high supply voltage potential or the second supply connection is connected to a low supply voltage potential. A controllable switching element is connected between the supply connections. A control unit is connected to the controllable switching element. A control signal transceiver is connected to the first supply connection and to the control unit. A first voltage supply unit is connected to the control signal transceiver. A second voltage supply unit with an energy storage element is connected to the control unit. A coil is connected between the first supply connection and the controllable switching element. A diode is connected to a connection point of the coil and the controllable switching element and to supply connections of the first and second voltage supply units.

A system for utilizing a single circuit to feed at least two electrical loads when adding an additional load would normally require its own circuit and an upgrade of the electrical service to a dwelling where the circuit is deployed to handle the additional load, including a first electrical component, connected to a circuit and a first load and a second load, the first electrical component configured to power to the first load and second load but disconnect power to the second load when the first load is utilized greater than a threshold ampacity. The first and the second load cannot be fully energized at the same time as the capacity of the circuit would be exceeded.

A method of adjusting energy delivered by a renewable energy system to an electrical grid and an energy-consuming load is disclosed. The method may comprise determining a production schedule of a renewable energy system (RES) and establishing a prioritization order between the electrical grid and the energy-consuming load. The method may further comprise setting a power receiving threshold for the electrical grid or the energy-consuming load based on the prioritization order, and adjusting the energy delivered by the RES by controlling a first amount of energy delivered to the electrical grid and a second amount of energy delivered to the energy-consuming load. A variability schedule of at least one of the first amount of energy or the second amount of energy can be amplified or dampened over a time period relative to the natural variability energy production schedule of the RES.

A controller for actuating a load includes first and second supply connections. The first supply connection is connected to a high supply voltage potential or the second supply connection is connected to a low supply voltage potential. A controllable switching element is connected between the supply connections. A control unit is connected to the controllable switching element. A control signal transceiver is connected to the first supply connection and to the control unit. A first voltage supply unit is connected to the control signal transceiver. A second voltage supply unit with an energy storage element is connected to the control unit. A coil is connected between the first supply connection and the controllable switching element. A diode is connected to a connection point of the coil and the controllable switching element and to supply connections of the first and second voltage supply units.

The technology relates to power saving modes for subsystems in solar powered aircraft. An onboard subsystem of an aircraft includes a first processor configured to monitor a state of the subsystem and generate state data; a heating component configured to heat the subsystem to at least a minimum viable temperature; an operational component; and a hardware controller configured to control power to the heating component, the first processor, and the operational component, at least during a preservation mode and a monitoring mode. The subsystem draws a moderate amount of power when the heating component is on and a minimum threshold amount of power in the preservation mode. The subsystem draws a moderate amount of power in the monitoring mode in order to generate and communicate state data by the first processor, a moderate amount of power being lower than the higher amount of power required to operate the operational component.

A server receives requests for power-on of electrical appliances provided in houses in an electricity distribution town block where an electricity distribution transformer is shared and arbitrates power-on timings of the electrical appliances provided in the houses to suppress simultaneous occurrence of an inrush current.

Systems and methods for load distribution, where a method can include: establishing an interface with a controlling architecture of an electric power distribution system, the electric power distribution system in communication with a set of outlets of utility-facing devices providing access to the electric power distribution system; returning a demand assessment from a demand model characterizing anticipated demand upon the one or more portions of the electric power distribution associated with the set of outlets, the set of outlets positioned at a set of sites; and executing an action for adjustment of load distribution throughout the set of sites, through the controlling architecture, based upon the demand assessment. The inventions can be used to achieve carbon emission goals by incentivizing better use of limited energy resources.

The energy management system and method provide for the control of electrical loads within a group. The group of electrical loads are prioritized in terms of importance or criticality to remain electrically connected. Prioritization can be received as rankings input by the user or as a set of rankings generated by a learning-based artificial intelligence system. One or more energy-related goals are input, with the one or more energy-related goals including at least one energy-related parameter. The one or more energy-related goals may be received as input from the user through a user interface, using, for example, a sliding controller displayed to the user on the user interface. Energy consumption of each of the electrical loads in the group is monitored, and at least one lowest ranked electrical load is disconnected when the monitored energy consumption deviates from the one or more energy-related goals.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining controls to be applied to a population of devices. In one aspect, a method comprises: determining a plurality of simulated load curves, wherein each simulated load curve simulates load generated by a respective device from a population of devices based on application of a respective control from a set of controls; adjusting values of a plurality of weights during a plurality of optimization iterations using an optimization technique to optimize a loss function, wherein each weight corresponds to a respective simulated load curve, wherein the loss function measures: a sparsity of the values of the plurality of weights, and an error between: (i) an aggregate load curve that is defined by combining the simulated load curves in accordance with the values of the plurality of weights, and (ii) a target load curve.