Abstract: A scheduling apparatus includes a first calculator, a storage, and a second calculator. The first calculator is configured to calculate an assignment of plural time slots to a consumer. Each of the plural time slots is classified into at least any of plural categories. The storage is configured to store a first demand, from the consumer, regarding an extent to which the categories associated with the assignment are biased. The second calculator is configured to calculate an extent to which the categories associated with the assignment calculated by the first calculator are biased and calculate a first evaluation value representing a deviation between the first demand and an extent to which the categories associated with the assignment calculated by the first calculator are biased. The first calculator calculates the assignment so as to optimize an evaluation function including the first evaluation value.

Abstract: There is provided a charge/discharge scheduling system in which a measurer measures temperature of a battery unit, a current/voltage measurer measures a voltage and a current at the battery unit, an estimating unit estimates an internal resistance of the battery unit, a scheduler creates, based on a charge/discharge instruction specifying charge amount or discharge amount, a charging schedule or a discharging schedule for the battery unit, a temperature estimating unit estimates time-transition of temperature of the battery unit, based on the internal resistance of the battery unit, the load estimator estimates a load amount applied to the battery unit based on the temperature time-transition of the battery unit provided that the charging schedule or the discharging schedule is carried out, the charge/discharge scheduler creates the charge schedule or the discharge schedule so that the load amount applied to the battery unit is a minimum or smaller than a threshold value.

Abstract: There is provided a data collecting apparatus in which a collector collects, from demanders, demand record data and demand forecast data of the energy; a data history manager; a reliability level calculator calculates, for each demander, a reliability level of the demand forecast data; a supply plan data receiver receives an acquisition request of demand forecast data of a future predetermined time range with respect to each demander from an energy management system; and a data acquisition plan maker makes a collection plan such that the demand forecast data of the future predetermined time range and the demand record data are collected earlier from a demander with a higher reliability level, wherein the data collector collects according to the collection plan, and the data history manager provides the collected demand forecast data to the energy management system before a start time of the future predetermined time range.

Abstract: An apparatus includes: an acquiring unit configured to acquire a measured image including a cloud and a reference article; a specifying unit configured to specify a first area of the reference article in the measured image; a determining unit configured to determine whether or not the cloud exists on the near side of the reference article in the measured image; a position estimating unit configured to estimate the position of the cloud, if the cloud exists on the near side of the reference article, from a second area of the cloud in the measured image and the height and position of the reference article acquired from the information storage unit; an attenuation rate calculating unit configured to calculate a first luminance, which is a luminance of the second area of the measured image, and a second luminance, which is a luminance of the corresponding second area for the reference image acquired from the image storage unit, and calculating the attenuating rate of light from the first luminance and the second

Abstract: A power receiving unit receives power generated by power generating units via a power system. A power information acquiring unit acquires first system power information showing the proportion of power generated by each power generating unit in a first period. An intensity database stores environmental loading intensities for each power generating unit. A charge load intensity calculator calculates a charge load intensity which is a weighted sum of the environmental loading intensity corresponding to each power generating unit based on the proportion of each power generating unit in the first system power information. A charge/discharge judging unit determines to charge a storage unit in a first period when the charge load intensity is less than a reference value, and not to charge the storage unit in the other cases. A charge/discharge controller charges the storage unit in the first period when determined to charge the storage unit.

Abstract: A lighting control system performs a lighting control on slave lamps under the control of a master lamp communicating with and connected to a management apparatus. The master lamp includes an adding unit that adds the slave lamps placed under the control of the other master lamp to the slave lamps under its own control, when the other master lamp fails. The master lamp includes a lighting control unit that performs the lighting control on the slave lamps, based on a command relating to the lighting control, which is received from the management apparatus.

Abstract: A green power demand management device includes: a power meter which receives power from a power distribution system with a plurality of power generating units, and supplies a received power to a first appliance; a receiver which receives energy mixture information showing a power generation proportion among each power generating unit, a measuring unit which measures electric energy consumed by the first appliance, a setting unit which sets a first threshold, and an operating state control manager which uses an intensity conversion table including emission intensities each representing an amount of an environmental load material emitted by each power generating unit, obtains a second threshold by dividing the first threshold by sum total of the emission intensity of each power generating unit weighted by the proportion, and controls the first appliance so that electric energy consumption of the first appliance is equal to or smaller than the second threshold.

Abstract: Provided is an apparatus determining values of N and K for an abnormality diagnostic logic which makes a diagnosis N times for each diagnosis target by using observation values collected therefrom, and generates a diagnosis result showing that the diagnosis target is abnormal if the diagnosis target is judged to be abnormal K or more times. A calculator calculates average false detection rate PFP, average overlooking rate PFN, bias level of false detection MFP, and bias level of overlooking MFN, based on diagnosis result data and inspection result data. A determiner calculates an optimization metric for each combination of values N and K by using the average false detection rate, the bias level of false detection, the average overlooking rate, and the bias level of overlooking, and selects a pair of N and K by which the optimization metric becomes minimum or a threshold value or less.

Abstract: A user evaluation apparatus includes a parameter determination module which determines parameters of a user evaluation model required to calculate a degree of usage influence so as to maximize a target function. The target function may be defined using weight values, measurement data, and a failure information counting result. The apparatus also includes a user evaluation module which calculates and displays the degree of usage influence using the measurement data and the parameters of the user evaluation model.

Abstract: A first predicting unit predicts a power demand required by each customer. A first reliability value calculator calculates the reliability value of the predictive power demand for each customer. Predicted power supply from a power system is calculated with respect to each power generating unit. A second reliability value calculator calculates the reliability value of the predictive power supply for each power generating unit. A balancing unit obtains a supply-demand margin level based on the difference between: a first weighted sum obtained by performing weighted sum on the predictive power demand and a weight depending on the reliability value; and a second weighted sum obtained by performing weighted sum on the predictive power supply and a weight depending on the reliability value. A plan creator creates a plan for controlling power used by the controllable appliance of the customer based on the supply-demand margin level.

Abstract: A first module calculates a failure occurrence risk index of each data storage area address. A second module calculates a power saving index of each data storage area address. A third module calculates an access speed index per unit data volume necessary to access each data storage area address. A fourth module generates a distribution table that represents the failure occurrence risk index, the power saving index, and the access speed index for each candidate address, with respect to data to be distributed. A fifth module selects a candidate address in the distribution table such that the power saving index and the access speed index meet restricting conditions and the failure occurrence risk index is minimized, and distributes the data to the candidate address.

Abstract: A scheduling apparatus includes a first calculator, a storage, and a second calculator. The first calculator is configured to calculate an assignment of plural time slots to a consumer. Each of the plural time slots is classified into at least any of plural categories. The storage is configured to store a first demand, from the consumer, regarding an extent to which the categories associated with the assignment are biased. The second calculator is configured to calculate an extent to which the categories associated with the assignment calculated by the first calculator are biased and calculate a first evaluation value representing a deviation between the first demand and an extent to which the categories associated with the assignment calculated by the first calculator are biased. The first calculator calculates the assignment so as to optimize an evaluation function including the first evaluation value.

Abstract: There is provided a charge/discharge scheduling system in which a measurer measures temperature of a battery unit, a current/voltage measurer measures a voltage and a current at the battery unit, an estimating unit estimates an internal resistance of the battery unit, a scheduler creates, based on a charge/discharge instruction specifying charge amount or discharge amount, a charging schedule or a discharging schedule for the battery unit, a temperature estimating unit estimates time-transition of temperature of the battery unit, based on the internal resistance of the battery unit, the load estimator estimates a load amount applied to the battery unit based on the temperature time-transition of the battery unit provided that the charging schedule or the discharging schedule is carried out, the charge/discharge scheduler creates the charge schedule or the discharge schedule so that the load amount applied to the battery unit is a minimum or smaller than a threshold value.

Abstract: There is provided a data collecting apparatus in which a collector collects, from demanders, demand record data and demand forecast data of the energy; a data history manager; a reliability level calculator calculates, for each demander, a reliability level of the demand forecast data; a supply plan data receiver receives an acquisition request of demand forecast data of a future predetermined time range with respect to each demander from an energy management system; and a data acquisition plan maker makes a collection plan such that the demand forecast data of the future predetermined time range and the demand record data are collected earlier from a demander with a higher reliability level, wherein the data collector collects according to the collection plan, and the data history manager provides the collected demand forecast data to the energy management system before a start time of the future predetermined time range.

Abstract: A first module calculates a failure occurrence risk index of each data storage area address. A second module calculates a power saving index of each data storage area address. A third module calculates an access speed index per unit data volume necessary to access each data storage area address. A fourth module generates a distribution table that represents the failure occurrence risk index, the power saving index, and the access speed index for each candidate address, with respect to data to be distributed. A fifth module selects a candidate address in the distribution table such that the power saving index and the access speed index meet restricting conditions and the failure occurrence risk index is minimized, and distributes the data to the candidate address.

Abstract: A first module calculates a failure occurrence risk index of each data storage area address. A second module calculates a power saving index of each data storage area address. A third module calculates an access speed index per unit data volume necessary to access each data storage area address. A fourth module generates a distribution table that represents the failure occurrence risk index, the power saving index, and the access speed index for each candidate address, with respect to data to be distributed. A fifth module selects a candidate address in the distribution table such that the power saving index and the access speed index meet restricting conditions and the failure occurrence risk index is minimized, and distributes the data to the candidate address.

Abstract: A power receiving unit receives power generated by power generating units via a power system. A power information acquiring unit acquires first system power information showing the proportion of power generated by each power generating unit in a first period. An intensity database stores environmental loading intensities for each power generating unit. A charge load intensity calculator calculates a charge load intensity which is a weighted sum of the environmental loading intensity corresponding to each power generating unit based on the proportion of each power generating unit in the first system power information. A charge/discharge judging unit determines to charge a storage unit in a first period when the charge load intensity is less than a reference value, and not to charge the storage unit in the other cases. A charge/discharge controller charges the storage unit in the first period when determined to charge the storage unit.

Abstract: Provided is an apparatus determining values of N and K for an abnormality diagnostic logic which makes a diagnosis N times for each diagnosis target by using observation values collected therefrom, and generates a diagnosis result showing that the diagnosis target is abnormal if the diagnosis target is judged to be abnormal K or more times. A calculator calculates average false detection rate PFP, average overlooking rate PFN, bias level of false detection MFP, and bias level of overlooking MFN, based on diagnosis result data and inspection result data. A determiner calculates an optimization metric for each combination of values N and K by using the average false detection rate, the bias level of false detection, the average overlooking rate, and the bias level of overlooking, and selects a pair of N and K by which the optimization metric becomes minimum or a threshold value or less.

Abstract: A green power demand management device includes: a power meter which receives power from a power distribution system with a plurality of power generating units, and supplies a received power to a first appliance; a receiver which receives energy mixture information showing a power generation proportion among each power generating unit, a measuring unit which measures electric energy consumed by the first appliance, a setting unit which sets a first threshold, and an operating state control manager which uses an intensity conversion table including emission intensities each representing an amount of an environmental load material emitted by each power generating unit, obtains a second threshold by dividing the first threshold by sum total of the emission intensity of each power generating unit weighted by the proportion, and controls the first appliance so that electric energy consumption of the first appliance is equal to or smaller than the second threshold.

Abstract: A first predicting unit predicts a power demand required by each customer. A first reliability value calculator calculates the reliability value of the predictive power demand for each customer. Predicted power supply from a power system is calculated with respect to each power generating unit. A second reliability value calculator calculates the reliability value of the predictive power supply for each power generating unit. A balancing unit obtains a supply-demand margin level based on the difference between: a first weighted sum obtained by performing weighted sum on the predictive power demand and a weight depending on the reliability value; and a second weighted sum obtained by performing weighted sum on the predictive power supply and a weight depending on the reliability value. A plan creator creates a plan for controlling power used by the controllable appliance of the customer based on the supply-demand margin level.