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 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:
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 measurement feature amount, and a different feature amount from the first feature amount.
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 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 measurement feature amount, and a different feature amount from the first feature amount.
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.