Charging scheduling systems and methods for charging devices applied to at least one charging device and a cloud management module are provided for charging an electric vehicle. First, a power status of a battery module of the electric vehicle is detected through a battery detection unit of the charging device, and electricity rate data corresponding to the charging device including the electricity price of corresponding power company at different times is then obtained by cloud management module. Next, through cloud management module, at least one charging period with a lower electricity price is determined based on electricity rate data corresponding to charging device and power status to control the charging of the electric vehicle by the charging device to be performed during the determined charging period.

An energy savings selector tool may assist a user in determining electrical devices that, when implemented in a load control system, may reduce an amount of power used by the load control system. The energy savings selector tool may use load control information of the load control system to identify electrical devices that may be added to or replace other electrical devices in the load control system. The load control information may define operations of the load control system and/or include energy usage information of the load control system. The energy savings selector tool may identify savings information associated with implementing an electrical device in the load control system. Once an electrical device is installed in the load control system, the energy savings selector tool may be used to report energy savings information about the electrical device.

A demand response method, a demand response system, and a recording medium are provided. The response control method includes: determining priorities of devices to be controlled to participate in a demand response; generating respective participation profiles for the devices based on the determined priorities; and changing the priorities of the devices included in the participation profiles, based on whether participation in the demand response according to the generated participation profiles succeeds. Therefore, the user easily participates in the demand response, and thus energy can be saved.

A method for analyzing a user load in conjunction with time information and a system thereof are provided. In the case that an enterprise operates in a non-full-time operational mode, operation periods of the enterprise are adjusted, electricity prices for respective adjusted operation periods are obtained, and the electricity prices are multiplied with electricity consumptions to obtain electricity charges of the enterprise. In the case that the enterprise operates in a full-time operational mode, electricity consumptions in respective hours of the enterprise are adjusted, the electricity consumptions are multiplied with electricity prices for the respective hours to obtain electricity charges of the respective hours of the enterprise, and the electricity charges of the respective hours are accumulated to obtain a total electricity charge of the enterprise.

A storage battery device is provided with a transmitter which, in cases when a power supply of the storage battery device is turned on, repeatedly transmits, for a prescribed time period, a classification message including the classification of the storage battery device.

A demand response management system which may be implemented with demand response logic. The system may be used by utilities, independent system operators, intermediaries and others to manage operations of demand response programs relative to customers, clients, participants, and users of outputs from the utilities, independent system operators, and the like. Demand response logic of the demand response management system may provide demand signal propagation and generation from demand response events.

An apparatus for controlling consumption of a resource by a facility is provided. The apparatus includes a plurality of devices, a network operations center (NOC), and a plurality of control nodes. The plurality of devices is disposed within the facility, each consuming a portion of the resource when turned on, and the each capable of performing a corresponding function within an acceptable operational margin by cycling on and off. The NOC is disposed external to the facility, and is configured to generate a plurality of run time schedules, where the plurality of run time schedules coordinates run times for the each of the plurality of devices to control the consumption of the resource while maintaining corresponding local environments while operating within corresponding acceptable operating margins, and is configured to adjust the plurality of run time schedules based upon occupancy components and occupancy levels generated by the NOC, where the occupancy components and the occupancy levels are exclusively generated based on the consumption of the resource and outside temperature. The plurality of control nodes is disposed within the facility, each coupled to a corresponding one of the plurality of devices, where the plurality of control nodes is coupled together via an energy management network that is operatively coupled to the NOC, and where the plurality of control nodes transmits sensor data and device status to the NOC via the energy management network for generation of the plurality of run time schedules, and where the plurality of control nodes executes selected ones of the run time schedules to cycle the plurality of devices on and off.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

A method includes determining control setpoints for equipment based on a time-varying availability of green energy and revenue from an incentive program of an energy provider. The method also includes controlling the equipment using the control setpoints.

An autonomous energy supply network has energy producers and energy consumers that are driven by a local control device. The following steps reduce the parameterization outlay required for the operation of the autonomous energy supply network: provision of model data of the autonomous energy supply network in a data memory of a computing device superordinate to the local control device, the model data specifying the respective energy producers and their operating parameters; determination of an operating plan for the autonomous energy supply network with the computing device by using the model data, the operating plan specifying the operating state of the autonomous energy supply network during a particular time interval; transmission of the operating plan to the local control device; and driving of the energy producers and/or the energy consumers according to the specifications of the operating plan by the local control device.