System, method, and interface for visualized resource allocation and algorithms for the reallocation of resources to achieve a goal. The system analyses an initial state of resource allocation, a cost function for undesirable resources, and a set of potential incremental improvements, each with an associated cost, and determines a step-wise path of applying the incremental improvements to achieve an ultimate resource-allocation goal in an economically feasible way. Simultaneously, a user interface depicts the state of the allocation at the beginning, at the end, and along the path, allowing an intuitive understanding of how the goal will be achieved.

The invention relates to a method for power consumption and power input control in an electrical power supply network, wherein a control signal with an item of tariff information is generated by a signal station at a power supply and unidirectionally output via the power supply network, wherein the control signal is received by at least one receiving unit arranged in the power consumption network and the control signal received by the receiving unit is used for operation control of a power output unit/power input unit for a downstream power consumer/power generator. A device for power consumption/power generation control comprises a receiving unit for a control signal transmitted via a power supply network with means for converting the control signal and for generating switching processes for a power output/power input unit controlled by the receiving unit for connecting a downstream consumer/generator.

Embodiments of the present invention provide an energy management system and an energy management method, the system comprising: a reception unit for receiving energy price information from an energy supplier; an output unit for outputting predicted energy price information by inputting, into an artificial neural network (ANN), environment information including the energy price information; and a determination unit for determining the energy consumption action of each of a plurality of energy consumption devices at time (h) on the basis of determination information including the predicted energy price information, wherein the determination unit repetitively performs, until a set completion condition is satisfied, an update step of updating a Q value determined on the basis of an energy consumption state and an energy consumption action of each energy consumption device along time in order to determine the energy consumption action at time (h).

Energy conversion and distribution can include converting sound energy to electrical energy using one or more energy converters positioned within a predetermined area. Multiple devices can be classified to indicate an energy requirement of each device, and the electrical energy converted from sound energy can be allocated to one or more of the devices based on the classifying. Delivery of the electrical energy allocated to each of the one or more devices can be controlled using a switching mechanism to create a transmission channel with respect to each of the one or more devices.

Systems and methods for control optimization of building subsystems are disclosed. In some embodiments, a system comprises at least one processor; and memory storing instructions executable by the at least one processor, the instructions when executed cause the system to: obtain building load information, the building load information related to one or more power consuming subsystems of the building; determine a future building load based on the building load information; and adjust one or more setpoint tolerances for the one or more subsystems based on the determined future building load.

A pop-up charger management method includes assessing an expected charge demand based on communications from a plurality of electrified vehicles, and, in response to the expected charge demand, starting at least one generator of a pop-up charger. A pop-up charger assembly can include at least one generator; at least one battery; a control module configured to, in response to an expected charge demand, start the at least one generator, the expected charge demand based on communications from a plurality of electrified vehicles.

A method for predicting when energy consumption will exceed normal production capacity for buildings including generating data sets for each of the buildings, where energy consumption values within each set are shifted by one of a plurality of lag values relative to time and temperature values, and where each lag value is different; performing a regression model analysis on each set to yield corresponding regression model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, regression model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption will exceed normal production capacity; and receiving the time when energy consumption will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption.

A method for designing a battery storage at a connection point of a load to an energy supply network. In the method, at least two different load types are determined. A load profile of the load before a connection and an operation of the battery storage is recorded. The load profile is evaluated and the load is assigned to one of the load types depending on the evaluation. The battery storage is designed so that the load is assigned to a different load type after the battery storage has been connected and operated.

This application provides example methods and systems for supplying power to a device, and example related devices, and relates to the field of energy technologies. One example method includes predicting power load of the device in a first electricity price interval, where the first electricity price interval is a continuous time period in which electricity prices are the same. A power supply policy can then be selected for the device based on the power load of the device in the first electricity price interval, a quantity of stored electric charges of a power storage device at a first moment, and an electricity price at the first moment. Power can then be supplied to the device based on the selected power supply policy.

In accordance with at least one aspect of this disclosure, a method for power distribution and load management in an aircraft can include budgeting a designated current for one or more loads in one or more respective power districts in a power distribution system based on a nominal load draw for each of the one or more loads, determining a system condition of the power distribution system, prioritizing each of the one or more loads based on the system condition, and distributing power from each of the one or more power districts to the respective one or more loads in order of priority until a total budgeted designated current for the respective power district has been exhausted, and leaving any remaining loads in the one or more power districts unpowered.