The present application describes a wireless power reception device comprising: a power pickup circuit configured to receive, from a wireless power transmission device, a wireless power generated on the basis of magnetic coupling in a power transmission phase; and a communication and control circuit configured to transmit, to the wireless power transmission device, a configuration packet including first dual data stream information, or to receive, from the wireless power transmission device, a capability packet including second dual data stream information. Upper layer data can be effectively exchanged by clearly recognizing whether the upper layer data is bidirectionally transmitted between the wireless power transmission device and the wireless power reception device, and accuracy of power loss and saving of processing resources can be achieved by synchronizing the timing of calculating the power loss between the wireless power transmission device and the wireless power reception device.

A wireless power transmission system includes a first antenna, a second antenna, a controller, a first power conditioning system, and a second power conditioning system. The controller is configured to determine a first driving signal for driving the first antenna based on a first operating frequency, a virtual AC power frequency, a variable slot length, and slot timing, and determine a second driving signal for driving the second antenna based on a second operating frequency, the slot length, and the slot timing. The first power conditioning system is configured to receive the first driving signal to generate the virtual AC power signals at the first operating frequency, the virtual AC power signals having peak voltages rising and falling based on the virtual AC power frequency. The second power conditioning system is configured to receive the second driving signal to generate the virtual DC power signals at the second operating frequency.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

A power control device 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.

The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.

Systems and methods for configuring, with an external device, a power distribution box having priority disconnects. The power distribution box includes a housing portion and a base portion elevating the housing portion. The power distribution box receives power from an external power source and distributes the power to a plurality of alternating current (AC) output receptacles. The power distribution box further includes an antenna and a power disconnect controller coupled to the antenna to communicate with and be configured by an external device, such as a smart phone, tablet, or laptop computer. Using the external device, a user can configure the priority level and mode of the AC output receptacles. In the case of high current, the power distribution box will disconnect receptacles in accordance with the priority level and mode configuration provided by the external device.

Embodiments may include a method of curtailing an output level of an EG system. The method may include receiving, at a processor, a first dynamic control signal. The first dynamic control signal may include an instruction to adjust an output level of an EG system to a first output level. The method may also include maintaining the output level of the EG system at the first output level for a predetermined period. The method may further include determining, by the processor, whether a second dynamic control signal is received during the predetermined period. If a second dynamic control signal is not received during the predetermined period, the method may include ramping down the output level at a predetermined rate after the predetermined period until a predetermined failsafe output level is achieved. The predetermined failsafe output level may be maintained until a third dynamic control signal is received by the processor.

A smart communications controller for alternative energy equipment includes an equipment port connected to the alternative energy equipment and a plurality of autoconfiguration objects. Each of the autoconfiguration objects is configured to perform a protocol testing process for a particular communications protocol. The protocol testing process includes automatically determining whether the communications protocol is used by the alternative energy equipment connected to the equipment port. The smart communications controller further includes an autoconfiguration manager configured to cause the autoconfiguration objects to iteratively perform their protocol testing processes until the communications protocol used by the alternative energy equipment is identified. The smart communications controller further includes an equipment controller configured to use the identified communications protocol for the alternative energy equipment to generate protocol-specific control signals for the alternative energy equipment.

Technologies are generally described for addressing the bidirectional power flow conflict incurred by power surpluses produced from a number of households' on-location energy generation units (e.g., solar) in power distribution networks. A micro grid composed of households in a neighborhood may be considered as a generating- or consuming-resource entity at different time periods. The approach may be formulated as a power balance computation such that power balance may not be achieved within the micro grid itself, and therefore power sharing (or redispatching) among micro grids is operated, before requesting power from the macro grid, i.e., the fuel-based conventional grid. Enhancement of renewable energy utilization and reduction in the amount of data packet traffic in exchange of information and control messages via uplink and downlink transmissions throughout an overlay multi-tier communications network infrastructure may be taken into consideration in example implementations.

Aspects of the subject disclosure may include, for example, a transmission system having a coupling device, a bypass circuit, a memory and a processor. The coupling device can facilitate transmission or reception of electromagnetic waves that propagate along a surface of a transmission medium. The memory can store instructions, which when executed by the processor, causes the processor to perform operations including restarting a timer to prevent the bypass circuit from disabling the transmission or reception of electromagnetic waves by the coupling device. Other embodiments are disclosed.