Abstract: An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server manages the exchange of the electric power for each vehicle group in which the vehicles are bundled, and configures the vehicle group in advance by bundling the vehicles having the same or similar electric power supply and demand characteristics of the battery.

Abstract: An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server manages the exchange of the electric power for each vehicle group in which the vehicles are bundled, and configures the vehicle groups in advance such that distributions of the electric power supply and demand characteristics of the batteries of the vehicles included in the vehicle groups are the same or similar.

Abstract: A distance measuring camera 1 includes a first optical system for collecting light from a subject to form a first subject image, a second optical system for collecting the light from the subject to form a second subject image, an imaging part for imaging the first subject image formed by the first optical system and the second subject image formed by the second optical system, and a distance calculating part 4 for calculating a distance to the subject based on the first subject image and the second subject image imaged by the imaging part S. The first optical system and the second optical system are configured so that a change of a magnification of the first subject image according to the distance to the subject is different from a change of a magnification of the second subject image according to the distance to the subject.

Abstract: A control system includes a computer configured to remotely control at least one of charging and discharging of a power storage device mounted on a control target. The computer is configured to transmit a first command indicating charging power or discharging power of the power storage device to the control target via each of a first communication path and a second communication path. The control system further includes a determination unit configured to determine whether or not any one of the first communication path and the second communication path is under a cyberattack by using a second command received by the control target via the first communication path when the computer transmits the first command, and a third command received by the control target via the second communication path when the computer transmits the first command.

Abstract: A power adjustment system adjusts charging and discharging power of a plurality of electrified vehicles in a virtual power plant that uses the electrified vehicles as energy resources. The power adjustment system includes: a first processor configured to manage charging and discharging of the electrified vehicles based on vehicle information of each individual electrified vehicle included in the electrified vehicles; and a second processor configured to control charging and discharging between the electrified vehicles and a plurality of chargers and dischargers connected to a power distribution grid based on charge and discharge information supplied from the first processor. The charge and discharge information is generated based on the vehicle information of the each individual electrified vehicle, and includes a charge and discharge constraint of an electrified vehicle group composed of the electrified vehicles and a charge and discharge constraint of the each individual electrified vehicle.

Abstract: A charge and discharge control device includes a controller configured to: predict, for each of vehicles included in a vehicle group, a remaining capacity of a storage battery mounted on each of the vehicles within a future predetermined period using a behavior prediction model that predicts behavior of each of the vehicle; optimize, for each vehicle, an instruction value of a charge and discharge power amount of the storage battery within the predetermined period such that an accumulation value of the charge and discharge power amounts follows a demand value for the vehicle group while minimizing a degradation amount of the storage battery using the predicted remaining capacities of the storage batteries and a battery degradation prediction model that predicts the degradation amount of the storage battery from the remaining capacity; and control a charging and discharging operation of the storage battery according to the optimized instruction value.

Abstract: An information processing device includes a processor that: acquires movement information related to a movement of a moving body from the moving body including a fuel cell using hydrogen fuel as a power source of the moving body, a storage unit for storing hot water discharged from the fuel cell, and a tub for using the hot water discharged from the storage unit; acquires destination information related to a destination of the moving body from the moving body or a terminal of a user who uses the moving body; and acquires set values of a water amount and a water temperature of the hot water stored in the storage unit from the moving body, generates schedule information related to traveling of the moving body based on the movement information, the destination information, and the set values, and outputs the schedule information to the moving body.

Abstract: An information processing device includes a processor configured to: acquire renewable power generation information from a renewable energy power generation server; acquire at least one of hydrogen power generation information from a hydrogen power generation server and fuel cell information; acquire grid power generation information from a grid power generation server; acquire electric power information from each of a plurality of consumer facilities in a predetermined area, the electric power information being regarding an amount of electric power consumed by the consumer facility; and generate proposal information including information on a type of electric power supplied to a predetermined consumer facility based on at least one of the renewable power generation information, the hydrogen power generation information, and the fuel cell information, the grid power generation information, and a plurality of pieces of the electric power information, and output the proposal information to the predetermined con

Abstract: An information processing device includes a processor having hardware. The processor is configured to create, upon acquiring a charging signal indicating that an electric moving vehicle autonomously moving by power stored in a battery requires charging of the battery, or determining that the charging is required, based on a predetermined task additionally set to the electric moving vehicle, schedule information including a travel schedule that enables the electric moving vehicle to travel to a charging station where the battery is to be charged and to perform the task, and output the schedule information to the electric moving vehicle.

Abstract: An information processing device is provided with a processor including hardware. The processor is configured to: acquire image information acquired by capturing an image of an item collected by a moving body and store the image information in a storage unit; determine whether the item in the image information read from the storage unit is waste; when the processor determines that the item is not waste, output an instruction signal for keeping the item in the moving body and output information related to the item based on the image information; and when user identification information associated with the information related to the item exists in the storage unit, output an instruction signal for moving to a predetermined location.

Abstract: An information processing device includes a processor including hardware. The processor: predicts a power generation amount of a next day and derive a predicted value of the power generation amount based on the weather information and the power generation information in the solar power generation facility; predicts a demand amount of electric power to be used in the predetermined area on the next day and derives a predicted value of the demand amount based on the weather information in the predetermined area; and outputs a request signal for requesting distribution of a distributed item from an outside of the predetermined area to the predetermined area based on the predicted value of the power generation amount and the predicted value of the demand amount.

Abstract: A processor acquires path information and stores the path information in a storage unit, determines whether or not the moving body is in a lost state based on the path information from the storage unit, and generates and outputs route information that guides the moving body to a predetermined place when the moving body is determined to be in the lost state. The processor acquires the path information as an input parameter, inputs the path information to a determination learning model, and outputs whether or not the moving body is in the lost state as an output parameter. The model is a learning model generated by machine learning using an input and output data set in which path information is used as an input parameter for learning and a determination result of whether or not path information is in the lost state is used as an output parameter for learning.

Abstract: An electric power system includes a plurality of power adjustment resources electrically connectable to a power grid, and a management device configured to manage the power adjustment resources. The management device is configured to acquire a first request signal for requesting demand-and-supply adjustment in the power grid, and a second request signal for requesting the power adjustment resources to adjust electric energy in a predetermined period, transmit a power command signal indicating a command power value for each predetermined interval in the predetermined period to a predetermined power adjustment resource included in the power adjustment resources, and generate the power command signal to respond to both requests of the first request signal and the second request signal.

Abstract: A control device for a virtual power plant that adjusts balance between supply and demand of electric power in a transmission and distribution network by controlling charging and discharging operations of storage batteries mounted on vehicles, includes: an estimation unit configured to estimate, based on past action patterns of the vehicles, possibilities of participation of the vehicles in the virtual power plant when a charging and discharging operation is requested; and a control unit configured to control charging and discharging operations of the storage batteries mounted on the vehicles based on the estimation result of the estimation unit.

Abstract: A method for model creation for a power distribution network, includes: an acquisition step of acquiring, when rechargeable batteries mounted on a plurality of vehicles are in electrical connection with a plurality of different charge/discharge points of a power distribution network, charge/discharge amounts at the plurality of charge/discharge points upon charging/discharging of the rechargeable batteries and measurement results indicating values about power at a plurality of different measurement points of the power distribution network; and a model creation step of creating an electrical characteristic model for the power distribution network, based on the acquired charge/discharge amounts and measurement results.

Abstract: A control device of an internal combustion engine using a neural network, wherein an output value obtained by experiments is made training data for a value of an operating parameter of the engine in a presumed usable range, while an output value obtained by prediction without relying on experiments is made training data for a value of the operating parameter of the engine outside of the presumed usable range. The training data obtained by experiments and the training data obtained by prediction are used to learn the weights and the biases of the neural network so that an output value which changes in accordance with a value of an operating parameter of the engine matches the training data, and thereby even outside of the presumed usable range of the operating parameter, the output value can be suitably estimated.

Abstract: A distance measuring camera 1 includes a first optical system for collecting light from a subject to form a first subject image, a second optical system for collecting the light from the subject to form a second subject image, an imaging part for imaging the first subject image formed by the first optical system and the second subject image formed by the second optical system, and a distance calculating part 4 for calculating a distance to the subject based on the first subject image and the second subject image imaged by the imaging part S. The first optical system and the second optical system are configured so that a change of a magnification of the first subject image according to the distance to the subject is different from a change of a magnification of the second subject image according to the distance to the subject.

Abstract: A machine learning system using a neural network to output an output value corresponding to values of operating parameters of the machine. When the value of an operating parameter of a machine is outside a preset range, the number of nodes of the hidden layer one layer before the output layer of the neural network is increased and training data obtained by actual measurement for a newly acquired value of an operating parameter of the machine is used to learn the weights of the neural network so that the difference between the output value changing in accordance with the values of the operating parameters of the machine and training data corresponding to the values of the operating parameters of the machine becomes smaller.

Abstract: A machine learning system using a neural network to output an output value corresponding to values of operating parameters of the machine. When the value of an operating parameter of a machine is outside a preset range, the number of nodes of the hidden layer one layer before the output layer of the neural network is increased and training data obtained by actual measurement for a newly acquired value of an operating parameter of the machine is used to learn the weights of the neural network so that the difference between the output value changing in accordance with the values of the operating parameters of the machine and training data corresponding to the values of the operating parameters of the machine becomes smaller.

Abstract: A control device of an internal combustion engine using a neural network. When a value of an operating parameter of the engine is outside a preset range, the number of nodes of a hidden layer one layer before an output layer of the neural network is increased and training data obtained by actual measurement with respect to a newly acquired value of an operating parameter of the engine is used to learn a weight of the neural network so that a difference between the output value changing corresponding to the value of the operating parameter of the engine and training data corresponding to the value of the operating parameter of the engine becomes smaller.