Kabushiki Kaisha Toshiba

Kazuto Kubota

Shuichiro Imahara

Kyosuke Katayama

Takahisa Wada

Kiyotaka Matsue

Tomohiko Tanimoto

Hiroshi Taira

Shigeru Oyanagi

Hisaaki Hatano

Toshimitsu Kumazawa

Akihiko Nakase

Yasuo Takagi

Toshiaki Edahiro

Mami Mizutani

Yuzo Tamada

Masayuki Kubota

Hiroshi Sakai

Masahiko Murai

Chie Morita

Yoshiyuki Hondo

Masayuki Yamagishi

According to an embodiment, energy management system includes client and server. Server includes acquisition unit, estimation unit, calculator and controller. Acquisition unit acquires data concerning electrical equipment in a building including a storage battery from client. Estimation unit estimates energy demand and energy generation amount in building based on the data. Calculator calculates, based on the energy demand and the energy generation amount, operation schedule of the electrical equipment to optimize energy balance in building under a constraint that minimizes dump power to be discarded after storage battery is fully charged. Controller creates control information to control electrical equipment based on operation schedule.

Energy management system, server, energy management method, and storage medium

According to an embodiment, energy management system includes estimating module, preparing module and controller. Estimating module estimates energy demand of a home, and obtains estimated value of energy demand of home. Estimating module estimates energy generation amount and obtains estimated value of the generation amount. Preparing module prepares discharge strategy, based on the estimated energy demand and generation amount. Discharge strategy maximizes balance obtained by subtracting power purchase loss from power selling profit, by using a push-up effect. The controller controls discharge of the energy storage, based on actual values of the energy demand and the generation amount, and the discharge strategy.

Energy management system, energy management method, program, server apparatus, and local server

According to an embodiment, a status estimation apparatus includes detector, calculator, estimator and specifying unit. Detector detects a status change of any of electrical devices based on measurement data of a current flowing in a distribution line supplies power to the devices. Calculator calculates a current waveform change and a power change associated with the status change based on the measurement data. Estimator estimates a candidate originating from the status change based on the current waveform change. Specifying unit specifies a device caused the status change and a type of the status change based on the power change and an estimation result of the candidate.

Status estimation apparatus, status estimation method

According to one embodiment, a device state estimation apparatus includes a detector and an operating state estimator. The detector detects devices in the ON operating state, based on a comparison between a calculated one of a first characteristic of a current or power harmonic in a power feed line and a reference one of the first characteristic which has been predetermined for at least one device. The operating state estimator extracts at least one set of the second characteristics from plural sets of second characteristics associated with harmonic, which have been predetermined. Each set of the second characteristics is for operating states of each of the devices. The one set of the second characteristics is for operating states of the device in the ON operating state which is detected by the detector. The operating state estimator estimates the operating state of the device based on the similarity between the extracted one of the second characteristics and a calculated one of the second characteristics obtained from the current or power harmonic.

Device state estimation apparatus, device power consumption estimation apparatus, and program

According to one embodiment, energy manager includes first estimator, second estimator, creator and controller. First estimator estimates power amount of power generator. Second estimator estimates energy demand. Creator creates schedule of devices based on estimated power amount and energy demand. Controller controls the devices based on the schedule. Second estimator includes storage, extractor and calculator. Storage accumulates load data. Extractor extracts load patterns including different load data. Calculator calculates weight for each of extracted patterns. Creator includes simulator and scheduler. Simulator simulates evaluated value of each schedule based on the pattern and weight. Scheduler creates schedule based on evaluated value.

Renewable energy management using weighted load patterns

According to one embodiment, an existent person count estimation apparatus includes motion sensors and following units. The collection unit generates human sensing information. The instance prediction unit predicts second instances from the first instances by using the transition matrix. The likelihood calculation unit calculates likelihoods of the second instances using the time information items. The instance selection unit selects one or more third instances having likelihoods higher than a threshold. The output unit generates output information including estimate values of existent person counts for the first areas included in the third instances.

Existent person count estimation apparatus

A power consumption distribution calculator uses a predicted outdoor temperature sequence of the customer house for a prediction period at a first date from a first time to a second time, and identifies dates having a sequence part similar to the predicted outdoor temperature sequence in the prediction period, identifies power consumption sequences corresponding to identified dates, and calculate a statistical distribution or a representative value of identified power consumption sequences for a whole period from a third time to the second time, the third time being earlier than the first time. A power consumption predicting unit calculates a predicted power consumption sequence in the prediction period based on the statistical distribution or the representative value. A reserve capacity calculating unit calculates reserve capacity being a difference between a predicted power consumption sequence and a sequence part in the prediction period of the reference power consumption sequence.

Reserve capacity calculating apparatus and method therefor, and computer readable medium

There is provided a consumption energy calculating device which simulates power consumption of a heating and cooling appliance operated by a customer living in a house. A first receiver and a second receiver receive a demand response signal and an external environmental factor parameter. A pain level model shows a relationship between an indoor air temperature and a pain level. A first calculator calculates, when the appliance is not in operation, the indoor air temperature of a next sample time. A second calculator calculates, when the appliance is in operation, determines the indoor air temperature of the next sample time. A working sequence generator determines whether the appliance is or not to be operated during the next sample time. The power consumption determination unit determines power consumption consumed by the appliance before the next sample time and outputs data showing the power consumption.

Consumption energy calculating device

There is provided a DR (Demand Response) countermeasure proposal device in which the communication unit receives a power consumption reduction, the rule database stores instrument control rules related to instruments, the rule ranking history database stores information on a ranking of the instrument control rules, the display displays the instrument control rules according to the ranking, the rule ranking changing unit changes the ranking of the instrument control rules in response to an instruction input from the customer, the DR execution unit selects at least one instrument control rule by execution of which the power consumption reduction request is satisfied in descending order of the ranking of the instrument control rules, and executes the at least one instrument control rule to control operation of at least one instruments related thereto.

DR countermeasure proposal device and method thereof

There is provided a behavioral model generating device in which a first pattern generator selects behavioral patterns from all the behavioral patterns in behavioral pattern groups by duplicate sampling according to a weighting factor of each group, and adds modification to each pattern to generate first behavioral patterns, a second pattern generator generates device operation patterns from the first behavioral patterns, a power consumption calculator calculates power consumption data based on the device operation patterns, an evaluation selector selects behavioral patterns from the first behavioral patterns by duplicate sampling according to a likelihood of the calculated power consumption data with respect to measured power consumption data, a first updater merges a pair of most similar groups out of all the groups including a group of the selected behavioral patterns and sets a weighting factor of the merged group as a sum of respective weighting factors of the pair.

Behavioral model generating device and method therefor

An appliance cooperation operation device in which a facility database stores an introduction cost of a power storage shared among a plurality of customers, and a rated life of the power storage; a facility deteriorating influence calculator calculates deteriorating influence on the power storage by using at least one parameter selected from a discharge rate of the power storage in a first period, depth of discharge at the end of the first period, and environmental temperature in the first period; a customer electric energy collector collects, from each of the customers, data of electric energy consumption in the first period; and a customer's burden cost calculator calculates a burden cost of each customer in the first period by multiplying: a ratio of energy consumption of each customer to total customer energy consumption; the introduction cost; a ratio of the first period to the rated life; and the deteriorating influence.

Appliance cooperation operation device

According to an aspect of the present invention, there is provided with a data division apparatus which divides multi-dimensional data, including: a data input unit which inputs multi-dimensional data; a division plane candidate creator which creates a plurality of division plane candidates for dividing the multi-dimensional data; a data provisional division unit which provisionally divides the multi-dimensional data by using the division plane candidate to generate clusters; a model generator which generates models from the clusters; an evaluation value calculator which calculates an evaluation value on the basis of the generated models and the multi-dimensional data; a division candidate selector which compares evaluation values respectively corresponding to the division plane candidates and selects a division plane candidate having a highest evaluation value; and a data division unit which divides the multi-dimensional data by using the selected division plane candidate.

Data division apparatus, data division method and program

There is provided a parallel computing method of performing a parallel computing by using a master computer for generating a job and plural worker computers which execute the job and to each of which availability is assigned: wherein the master computer; includes: generating plural jobs each having a value; storing the generated jobs into a job storage;

Parallel computing method, parallel computing program and computer

There is provided with a monitoring method of monitoring plural apparatuses each having a sensor, including: selecting two or more sample apparatuses out of the plural apparatuses;

Method and system for monitoring apparatus

A data extraction method comprising: storing a plurality of objects to be processed in a memory device, each of the objects including a single set of two data entities which differ in attribute from each other, converting each of the objects stored in the memory device to one of elements arranged in a matrix, by setting one of the two data entities at a row of the matrix and the other at a column of the matrix, extracting from the matrix a submatrix which is generated by replacing rows and columns of the matrix and is dense with the objects, the submatrix being configured by a part of the matrix.

Growing community of inventors

Kawasaki, Japan

Kazuto Kubota