Abstract: A data management system is provided with: a storage unit for storing examination information including at least an examination item, an examination location, a consultation location, and a required examination time, the examination item including examination names of a plurality of examinations; an acquisition unit for acquiring patient information relating to severity and an identifier for identifying the patient to be examined; a calculation unit for calculating, in accordance with the patient, the necessary travel time for traveling from the examination location or consultation location at which a completed examination or consultation was performed to the next examination location or consultation location at which the next examination or consultation subsequent to the examination or consultation is to be performed, based on the patient information and the examination information; and a generating unit for generating a patient examination schedule based on the examination information, the patient informati

Abstract: A monitoring device (10) includes a feature amount storage unit (11) that stores a device feature amount which is a feature amount of each of a plurality of electrical devices installed in a predetermined unit in operation; a measured data acquisition unit (12) that acquires measured data of the predetermined unit which is at least one of a total current consumption, a total power consumption, and a voltage measured in the predetermined unit; a feature amount extraction unit (13) that acquires a measurement feature amount which is the feature amount included in the measured data of the predetermined unit; a correction unit (15) that corrects a first feature amount which is the device feature amount or the measurement feature amount based on unit feature information indicating a feature of the predetermined unit; and a presumption unit (16) that presumes the electrical device being in operation using the corrected first feature amount, and a second feature amount which is the device feature amount or the measu

Abstract: A data management system is provided with: a storage unit for storing examination information including at least an examination item, an examination location, a consultation location, and a required examination time, the examination item including examination names of a plurality of examinations; an acquisition unit for acquiring patient information relating to severity and an identifier for identifying the patient to be examined; a calculation unit for calculating, in accordance with the patient, the necessary travel time for traveling from the examination location or consultation location at which a completed examination or consultation was performed to the next examination location or consultation location at which the next examination or consultation subsequent to the examination or consultation is to be performed, based on the patient information and the examination information; and a generating unit for generating a patient examination schedule based on the examination information, the patient informati

Abstract: A problem to be solved is to optimize a storage schedule in which changes in power (W) stored in an energy storage apparatus with time are determined, and an output upper limit (W) of a renewable energy power supply.

Abstract: A power generation control device is provided with: a communication unit that receives output control information determined on the basis of a first index that relates to the output state at a power generation device group and a second index that relates to the output state at a predetermined power generation device; and a control unit that controls the output of the predetermined power generation device on the basis of the output control information.

Abstract: A monitoring device (10) includes a feature amount storage unit (11) that stores a device feature amount which is a feature amount of each of a plurality of electrical devices installed in a predetermined unit in operation; a measured data acquisition unit (12) that acquires measured data of the predetermined unit which is at least one of a total current consumption, a total power consumption, and a voltage measured in the predetermined unit; a feature amount extraction unit (13) that acquires a measurement feature amount which is the feature amount included in the measured data of the predetermined unit; a correction unit (15) that corrects a first feature amount which is the device feature amount or the measurement feature amount based on unit feature information indicating a feature of the predetermined unit; and a presumption unit (16) that presumes the electrical device being in operation using the corrected first feature amount, and a second feature amount which is the device feature amount or the measu

Abstract: A monitoring device (10) includes a feature amount storage unit (11) that stores a device feature amount which is a feature amount of each of a plurality of electrical devices installed in a predetermined unit in operation; a measured data acquisition unit (12) that acquires measured data of the predetermined unit which is at least one of a total current consumption, a total power consumption, and a voltage measured in the predetermined unit; a feature amount extraction unit (13) that acquires a measurement feature amount which is the feature amount included in the measured data of the predetermined unit; a correction unit (15) that corrects a first feature amount which is the device feature amount or the measurement feature amount based on unit feature information indicating a feature of the predetermined unit; and a presumption unit (16) that presumes the electrical device being in operation using the corrected first feature amount, and a second feature amount which is the device feature amount or the measu

Abstract: A training data generation device (10) includes: a measurement data acquisition unit (11) that acquires measurement data including waveform data including at least one of a current consumption waveform, an input voltage waveform, and a power consumption waveform along a time axis of an electrical device and power consumption value data indicating time-series power consumption values of the electrical device; an analysis unit (12) that analyzes a rate of occurrence of each power consumption value using the power consumption value data; a specifying unit (13) that specifies one or more specific power consumption value bands including a power consumption value with the higher rate of occurrence than that of a standard power consumption value and having a predetermined power value width; a feature amount extraction unit (14) that determines a representative power value for each specific power consumption value band and extracts a feature amount using the waveform data; and a storage unit (15) that stores a pair o

Abstract: A monitoring device (10) includes a unit-specific waveform data acquisition unit (11) that acquires waveform data in a unit in which electrical devices are installed; a first inference unit (13) that infers change in operation states of at least some of the electrical devices based on a first monitoring difference group including at least one of at least one kind of feature amount extracted from waveform data of a difference between waveform data of a first timing and waveform data of a second timing in the waveform data, and a differences of at least one kind of feature amounts extracted from the waveform data of the first timing and the waveform data of the second timing, and training difference information regarding a difference between a first operation state and a second operation state of each of the electrical devices; and a second inference unit (14) that infers an operation state of each of the electrical devices based on an inference result of the first inference unit (13).

Abstract: A monitoring system including a plurality of monitoring devices (20) and a server (10) is provided. When new device data including a feature amount of a new electrical device different form existing electrical devices is extracted from measurement data (current consumption or the like), the monitoring device (20) calibrates the feature amount of the new electrical device using calibration data generated based on calibration data of the exiting electrical device, and transmits the new device data to the server (10) in association with identification information of the new electrical device. When the calibrated new device data of the new electrical device is received from the plurality of monitoring devices (20), the server (10) generates and registers training data of the new electrical device based on the plurality of pieces of calibrated new device data.

Abstract: A problem to be solved is to optimize a storage schedule in which changes in power (W) stored in an energy storage apparatus with time are determined, and an output upper limit (W) of a renewable energy power supply.

Abstract: A monitoring device (10) includes: a unit-specific waveform data acquisition unit (12) that acquires unit-specific monitoring waveform data which is waveform data of at least one among total current consumption, a total input voltage, and total power consumption in a unit in which monitoring target electrical devices are installed; a first inference unit (13) that infers operation states of at least some of the monitoring target electrical devices based on a 1st feature amount group including at least one kind of feature amount extracted from the unit-specific monitoring waveform data, and a training feature amount which is a feature amount of each of the monitoring target electrical devices in a predetermined operation state; and a second inference unit (14) that infers the operation states of some of the monitoring target electrical devices based on a 2nd feature amount group including at least one kind of feature amount extracted from the unit-specific monitoring waveform data, and different from the 1st f

Abstract: A control device for controlling the operation of a supply and demand adjustment device that is connected to a power grid includes: detection means for detecting the state of the supply and demand adjustment device; communication means for transmitting the detection result of the detection means to an external device and receiving from the external device operation control information for controlling the operation of the supply and demand adjustment device; comprehension means for receiving and comprehending an adjustment power amount transmitted by bidirectional communication or one-way communication; and control means for, based on the adjustment power amount and the operation control information, controlling the operation of the supply and demand adjustment device.

Abstract: An electric power generation control device is provided with: a communication unit that receives an output upper-limit value in a power generation device group and a predicted amount of power generation of each power generation device that belongs to the power generation device group; and a determination unit that, on the basis of the output upper-limit value and the predicted amount of power generation of each power generation device, determines a first output upper-limit value of each power generation device that makes the sum total of the output of each power generation device equal to or less than the output upper-limit value.

Abstract: A power generation control device is provided with: a communication unit that receives output control information determined on the basis of a first index that relates to the output state at a power generation device group and a second index that relates to the output state at a predetermined power generation device; and a control unit that controls the output of the predetermined power generation device on the basis of the output control information.

Abstract: A time range setting unit (110) sets an operation startable time point at which an operation can be started and a target operation end time point which is the latest time point among time points at which the operation is to be ended, with respect to each of plural power demanding objects (20). A necessary operation time setting unit (120) sets a necessary operation time with respect to each of the plural power demanding objects (20). A shape information acquisition unit (130) acquires shape information from a schedule management device (40). The shape information indicates an assumed shape of a transition line that represents transition in the amount of supplied power in a target period.

Abstract: An object of the present invention is to improve the accuracy of prediction in a technique for predicting natural energy power generation amount, solar radiation amount or wind speed by using a statistical method based on machine learning. In order to achieve this object, provided is a prediction apparatus (10) including a feature value extraction unit (13) that extracts a feature value being a variation in time series from meteorological data from m (m is 2 or more) hours before a target time to the target time, and an estimation unit (first estimation unit (14)) that estimates a natural energy power generation amount, a solar radiation amount, or a wind speed at the target time based on the feature values over plural days.

Abstract: A monitoring system including a plurality of monitoring devices (20) and a server (10) is provided. When new device data including a feature amount of a new electrical device different form existing electrical devices is extracted from measurement data (current consumption or the like), the monitoring device (20) calibrates the feature amount of the new electrical device using calibration data generated based on calibration data of the exiting electrical device, and transmits the new device data to the server (10) in association with identification information of the new electrical device. When the calibrated new device data of the new electrical device is received from the plurality of monitoring devices (20), the server (10) generates and registers training data of the new electrical device based on the plurality of pieces of calibrated new device data.

Abstract: A training data generation device (10) includes: a measurement data acquisition unit (11) that acquires measurement data including waveform data including at least one of a current consumption waveform, an input voltage waveform, and a power consumption waveform along a time axis of an electrical device and power consumption value data indicating time-series power consumption values of the electrical device; an analysis unit (12) that analyzes a rate of occurrence of each power consumption value using the power consumption value data; a specifying unit (13) that specifies one or more specific power consumption value bands including a power consumption value with the higher rate of occurrence than that of a standard power consumption value and having a predetermined power value width; a feature amount extraction unit (14) that determines a representative power value for each specific power consumption value band and extracts a feature amount using the waveform data; and a storage unit (15) that stores a pair o

Abstract: A monitoring device (10) includes a unit-specific waveform data acquisition unit (11) that acquires waveform data in a unit in which electrical devices are installed; a first inference unit (13) that infers change in operation states of at least some of the electrical devices based on a first monitoring difference group including at least one of at least one kind of feature amount extracted from waveform data of a difference between waveform data of a first timing and waveform data of a second timing in the waveform data, and a differences of at least one kind of feature amounts extracted from the waveform data of the first timing and the waveform data of the second timing, and training difference information regarding a difference between a first operation state and a second operation state of each of the electrical devices; and a second inference unit (14) that infers an operation state of each of the electrical devices based on an inference result of the first inference unit (13).