A method for estimating torque control error at an electric machine considers the effects of current sensor error characteristics. Systems and methods can be practiced to determine the maximum sensor error that can be tolerated without causing unacceptable torque error. An example method uses sensor characteristics and machine characteristics to determine current sensing error, current control error, and torque control error. Determining the lowest sensor accuracy required for a desired torque control accuracy can facilitate the use of lower cost sensors in current-feedback controlled electric drive systems without compromising performance. Other applications can include vehicle diagnostics and torque error compensation.

A network system and a method for controlling the same include where a power consumption amount of an electrical appliance is monitored based on an operation of the electrical appliance. If a demand response (DR) signal for requesting power saving is received, it is determined whether a user is to participate in a DR event for a power-saving operation of the electrical appliance. If it is determined that the user is to participate in the DR event, the power-saving operation of the electrical appliance is performed based on previously mapped information on a discomfort caused by the power-saving operation of the electrical appliance.

Device for an energy generation unit of a user's installation, which is connected to an energy supply network and to at least one energy consumption unit of the user's installation and comprises a programmable logic control which controls an internal energy consumption, by the energy consumption units of the user's installation, of the energy generated by the energy generation unit.

Provided are a power control system, power control device, server device, and method for controlling a power control system in which the power control device can control load devices even when communication between the power control device and the server device is cut off, and which allow for timely discovery that communication has been cut off. A server device (20) extracts at least one of an elapsed time and remaining number of control instructions not acquired by a power control device (10) by polling and provides a warning when at least one of the elapsed time and the remaining number is at least a predetermined value. When the server device does not respond to polling, the power control device (10) creates a control instruction based on control guideline information and executes the control instruction.

A direct neural interface system comprises: a signal acquisition subsystem for acquiring electrophysiological signals representative of neuronal activity of a subject's brain; and a processing unit for representing electrophysiological signals acquired over an observation time window in the form of a N-way data tensor, N being greater than or equal to two, and generating command signals for a machine by applying a regression model over the data tensor; wherein the processing unit is configured or programmed for generating command signals for a machine by applying Generalized Linear regression, with a nonlinear link function, over the data tensor. A method of interfacing a subject's brain to a machine by using such a direct neural interface system is provided.

A first comparison-period specifier specifies a first to-be-compared period in a pre-implementation period before implementation of an energy saving control. A second comparison-period specifier specifies as a second to-be-compared period a to-be-compared candidate period having the highest similarity level between: parameters in a first parameter comparison period including a first comparison period and a first period immediately before or after the first comparison period, and parameters in a second parameter comparison period including a to-be-compared candidate period and a second period immediately before or after the to-be-compared candidate period. An energy saving diagnoser diagnoses the level of energy saving derived from the implementation of an energy saving control based on a power consumption amount in the first to-be-compared period and a power consumption amount in the second to-be-compared period.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The cloud server sends a response enabling the charge transfer from the second electric vehicle charging station to the electric vehicle.

Lower-level information processing devices (20-1 to 20-n) obtain parameters used for estimating power consumption in accordance with the statuses of electric devices (30-1 to 30-n), estimate the power consumption of the electric devices (30-1 to 30-n) on the basis of the parameters, and transmits the estimated value of the estimated power consumption to an upper-level information processing device (10). The upper-level information processing device (10) determines an assignment of distribution of supply and demand on the basis of the power supply-demand capacity in a predetermined power network and the estimated value of the power consumption and transmits the determined assignments to the lower-level information processing devices (20-1 to 20-n). The lower-level information processing devices (20-1 to 20-n) controls the operations of the electric devices (30-1 to 30-n) on the basis of the assignment of distribution of supply and demand.

A method for determining an availability of an electric vehicle charging station is disclosed. The method includes: receiving a first geolocation information regarding a mobile device; comparing the first geolocation information with a second geolocation information of the electric vehicle charging station; determining a distance between the mobile device and the electric vehicle charging station using the first geolocation information and the second geolocation information; and based on the determined distance, determining the availability of the electric vehicle charging station; and sending a notification to a user regarding the determined availability of the electric vehicle charging station.

A method for managing the charging of an electric vehicle is disclosed. The method includes receiving a request for a charge transfer for an electric vehicle over a network link between an electric vehicle charging station and a cloud server. The network link has a mobile device disposed between the electrical vehicle charging station and the cloud server for facilitating communication between the charging station and the cloud server. The method further including authorizing the charge transfer request received at the cloud server using identification information and credit account information received from the mobile device; and sending, from the cloud server, a response enabling the charge transfer from the electric vehicle charging station to the electric vehicle.