Abstract: A motion plan device 10X mainly includes a condition setting means 90X and a motion plan means 100X. The condition setting means 90X sets a first condition in which a robot performing a pick-and-place for one or more transport objects and the one or more transport objects are located inside movable region being a region where no collision with a collision avoidance necessary target occurs, and a second condition in which, while the robot is grasping and carrying the transport object, the movable region around the collision avoidance necessary target of the robot and the movable region around the collision avoidance necessary target of the transport object being carried match with each other. Next, the motion plan means 100X calculates a motion plan of the robot based on the first condition and the second condition.

Abstract: An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.

Abstract: An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.

Abstract: An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.

Abstract: An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.

Abstract: The present invention provides a control apparatus (100) that includes a remaining capacity change model determination unit (120) that determines a remaining capacity change model that estimates a temporal change of a remaining capacity which is based on charging/discharging in accordance with a first energy service for each of a plurality of energy storage systems that perform charging/discharging in accordance with energy services; and an operation planning unit (130) that computes a charging/discharging plan of each of the plurality of energy storage systems based on the remaining capacity change model of each of the plurality of energy storage systems.

Abstract: An air conditioning system control device 10 includes: a switching unit 11 that, when a parameter relating to the indoor environment in which the air conditioning system operates does not satisfy a first condition while the air conditioning system is operating in a first operation mode that is an operation mode in which setting values computed on the basis of a prediction model are used as the setting values for the air conditioning system, switches the operation mode of the air conditioning system to a second operation mode that is an operation mode in which the computed setting values are not used as the setting values for the air conditioning system.

Abstract: A drowsiness estimation information correction device includes: a drowsiness estimation information acquisition unit that acquires drowsiness estimation information that is based on an eyelid movement of a subject; and a drowsiness estimation information correction unit that calculates corrected drowsiness estimation information obtained by correcting the drowsiness estimation information with humidity information indicating humidity in a surrounding environment of the subject.

Abstract: A physiological state control apparatus includes mixing ratio computation means for computing, on the basis of characteristic data regarding a subject, mixing ratios for multiple sub-models that take, as an input, a physical quantity in a space in which the subject is located and that output a predicted value of a physiological index; model generation means for generating a physiological state prediction model for the subject on the basis of the mixing ratios and the sub-models; and device control means for controlling a control target device that influences the physical quantity using the physiological state prediction model.

Abstract: There is provided a thermal model creation device capable of creating a highly accurate thermal model. A constraint-condition setting means 72 sets constraint conditions of parameters in the thermal model. A parameter determination means 73 determines all unknown values of parameters in the thermal model under the constraint conditions.

Abstract: A arousal level control apparatus calculates, under a limitation related to a physical quantity that affects an arousal level of a subject, a setting value for controlling the arousal level of the subject by using a physical quantity prediction model for calculating the physical quantity based on a setting value of the physical quantity and an arousal level prediction model for calculating a prediction value of the arousal level based on the calculated physical quantity calculated, and sets the calculated setting value to a control target device that affects the physical quantity.

Abstract: An arousal level control apparatus calculates a setting value of a control device under a constraint condition using an arousal level optimization model so that a value of an objective function is maximized. The control device affects a physical quantity of a surrounding environment that affects arousal level of a subject. The arousal level optimization model includes the constraint condition and the objective function. The constraint condition includes a physical quantity prediction model, an arousal level prediction model, and a setting value range condition that the setting value is within a predetermined range. The physical quantity prediction model is an explicit function that includes the physical quantity and the setting value as explanatory variables and has a predicted value of the physical quantity as an explained variable.

Abstract: For one or more parameters of a plurality of parameters to be used for calculation of a comfort index, the comfort-index parameter range determination unit 15 determines the range of possible values of each of the one or more parameters. The comfort index model generation unit 16 approximates the comfort index on the basis of a value within the range determined for each of the one or more parameters, to generate a mathematical model of the comfort index. The setting value calculation unit 17 calculates, with the comfort index, setting values of one or more setting items for one or more air conditioners on the basis of the mathematical model.

Abstract: The present invention provides a control apparatus (100) that includes a remaining capacity change model determination unit (120) that determines a remaining capacity change model that estimates a temporal change of a remaining capacity which is based on charging/discharging in accordance with a first energy service for each of a plurality of energy storage systems that perform charging/discharging in accordance with energy services; and an operation planning unit (130) that computes a charging/discharging plan of each of the plurality of energy storage systems based on the remaining capacity change model of each of the plurality of energy storage systems.

Abstract: An air conditioning system control device 10 includes: a switching unit 11 that, when a parameter relating to the indoor environment in which the air conditioning system operates does not satisfy a first condition while the air conditioning system is operating in a first operation mode that is an operation mode in which setting values computed on the basis of a prediction model are used as the setting values for the air conditioning system, switches the operation mode of the air conditioning system to a second operation mode that is an operation mode in which the computed setting values are not used as the setting values for the air conditioning system.

Abstract: An information processing device receives plan necessary information relating to a first power generation device and a second power generation device having a power generation output that is more susceptible to an external environment than a power generation output of the first power generation device; and generates power generator operation plans, for the first power generation device and the second power generation device, that include a power generation curtailment plan to curtail a power generation output in the second power generation device, based on the plan necessary information and an operating cost in a power system including the first power generation device and the second power generation device; transmits a power generator operation plan for the first power generation device; and transmits a power generator operation plan including a power generation curtailment plan for the second power generation device to a device controlling or managing the second power generation device.

Abstract: A building thermal model generation apparatus 10 is provided with an estimation unit 11 that estimates, by using data for estimation, a building thermal model parameter which satisfies a prescribed condition of a building thermal model indicative of the temperature of a building, the building thermal model including an internal thermal load model indicative of a time change of heat generated inside the building.

Abstract: There is provided a thermal model creation device capable of creating a highly accurate thermal model. A constraint-condition setting means 72 sets constraint conditions of parameters in the thermal model. A parameter determination means 73 determines all unknown values of parameters in the thermal model under the constraint conditions.

Abstract: In a power network system (10A), a plurality of power routers including at least a first power router (100A) and a second power router (100B) are connected through respective input/output terminal parts in a multi-stage configuration. A predetermined amount of power is transmitted to the input/output terminal part of the power transmission destination (230A) through a first input/output terminal part (210A), the input/output terminal part of the second power transmission source (220A), and the DC bus (201A) in the second power router. The power network system includes as power information about power in the input/output terminal part of the power transmission destination, identification information of the first power transmission source (110A), and an intermediate measurement value of power received in the first input/output terminal part in a predetermined time period.

Abstract: In order to create a power generation suppression plan corresponding to a power grid including a power generating device employing a renewable energy (RE) power source, the information processing device of the present invention includes: a communication means which receives plan required information, which is information including information relating to a first power generating device and a second power generating device having a power generation output that is influenced by the environment to a greater extent than the first power generating device; and a planning means which, on the basis of the plan required information and operating costs for the power grid including the first power generating device and the second power generating device, creates start-stop plans relating to the first power generating device and the second power generating device, including a power generation suppression plan, which is a plan for suppressing the power generation output of the second power generating device, transmits the