A vehicle is capable of receiving electric power supplied from a charger and capable of receiving electric power supplied from a charging mat. The charging mat is movable and capable of wireless power transfer. A method for providing a vehicle charging service includes a first step and a second step. The first step is giving, by a server, an instruction for installing the charging mat on a lane at which charging congestion is detected or predicted to occur, the charging congestion being traffic congestion for charging the electric power supplied from the charger. The second step is transmitting the electric power from the charging mat when the vehicle is detected above the charging mat installed on the lane in accordance with the instruction, and transmitting no electric power from the charging mat when the vehicle is not detected above the charging mat.

There is provided a system for assigning power to a plurality of smart appliances. The system includes a plurality of smart outlet assemblies. Each of the smart outlet assemblies is paired to and in electrical communication with a respective one of the smart appliances. The system includes at least one smart breaker assembly in electrical communication with the smart outlet assemblies. The system includes a master server in communication with the smart breaker assembly. The system includes distributed databases used to exchange data among the smart outlet assemblies, the smart breaker assembly, and the master server. The master server selectively assign power to respective ones of the smart appliances via the smart breaker assembly based on the data. If the master server is unreachable, the smart breaker assembly is configured to selectively assign power to the smart appliances based on the data records.

A respiratory treatment device includes a blower for providing flow of breathable gas to a patient and one or more accessory devices. The respiratory treatment device includes active power management to distribute power from a power source that does not have sufficient power to simultaneously power the blower and the accessory devices. The active power management prioritizes power to the blower and limits, based on current measurements of the blower and the accessory devices, the power supplied to the accessory devices to keep the sum of the power drawn at or below the capacity of the power supply. When additional power is available, due reduced power consumption of the blower, the power to one or more accessory devices is raised beyond a target in order to compensate for when power was not supplied to the one or more accessory devices.

A method, system and apparatus are provided for optimized load shaping for optimizing production and consumption of energy. Information signals indicative of a first load shape signal are obtained corresponding to a total load, a renewable energy load of one or more renewable energy sources and a non-renewable energy load of one or more non-renewable energy sources. The first load shape signal corresponding to renewable energy load is removed from a non-renewable energy load to obtain a resulting load shape signal. The resulting load shape is flattened signal by apportioning the resulting load shape signal across time intervals to obtain a flattened load shape signal. At least a portion of the first component corresponding to the renewable energy load is added to the flattened load shape signal to create an optimized load shape signal. The optimized load shape signal is provided to modulate electric loads of energy-consuming devices.

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.

Method and apparatus for controlling loads connected to a distributed energy generation system. The method and apparatus display a list of loads, load status, load control state, where the load control state is manipulated through a user interface displayed on a user device. The load control state defines the operation of a load depending upon the operational status of the distributed energy generation system.

An automatic power transfer switch system includes a dimmable lighting load adapted to operate under a variable amount of power in dependence on a dimming control signal, an automatic transfer switch configured to connect a primary electrical power source to the dimmable lighting load under normal operating conditions of the primary electrical power source in a first mode, and to automatically disconnect the primary electrical power source from the load and connect an emergency electrical power source to the load under malfunctioning operating conditions of the primary electrical power source in a second mode, the automatic transfer switch further including an integrated load reduction dimmer configured to provide a dimming control signal to the dimmable lighting load. A load shedding controller communicatively coupled to the automatic transfer switch to provide a load shedding control signal to the automatic transfer switch, wherein the integrated load reduction dimmer develops the dimming control signal in response to the load shedding control signal.

The invention relates to a method for confirming an execution of a command for reducing electrical power consumption of at least one passenger transport vehicle the method comprising the following steps: sending (S1) a consumption reduction command signal to the regulation system of each vehicle, the command signal being modulated by a reference signal; obtaining (S2) a signal of the power consumed by the air conditioning means of the set of vehicles in response to the reference signal; and confirming (S3) the execution of the consumption reduction command according to characteristics of said signal of power consumed by the air conditioning means of the set of vehicles.

A method for controlling an energy storage system (ESS) and devices performing the method are disclosed. A method for controlling an ESS according to example embodiments, the method includes an operation of analyzing energy information of an area for which a peak power load is to be calculated received from a plurality of clients included in the area, an operation of generating, based on an analysis result, scheduling control information for controlling the ESS connected to the plurality of clients on a daily basis, an operation of determining, based on the scheduling control information, whether to generate real-time control information for controlling the ESS on a basis of a predetermined control time period, and an operation of correcting, based on the real-time control information, the scheduling control information.

A control system (300) allows recognized standard premise electrical outlets, for example NEMA, CEE and BS, among others to be remotely monitored and/or controlled, for example, to intelligently execute blackouts or brownouts or to otherwise remotely control electrical devices. The system (300) includes a number of smart receptacles (302) that communicate with a local controller (304), e.g., via power lines using the TCP/IP protocol. The local controller (304), in turn, communicates with a remote controller (308) via the internet.