Abstract: According to an embodiment, an operation plan planning device connected to an electric power system and plans an operation plan for responding to a request for a balancing power from the electric power system in a hydrogen production plant that includes a renewable energy generator, a water electrolysis device, and a hydrogen storage facility, the device comprises: an input part; a storage; a calculator including: a balancing power scenario creating unit to create a time series of a balancing power price and a time series of a balancing power ratio, and to create a balancing power scenario by synthesizing them; a mathematical optimization calculator; and a calculation condition setting unit; and an output part.

Abstract: According to an embodiment, a reverse flow power control device includes: an input unit that accepts actual values of output power of the power conditioner, load power with respect to the load device, and reception power, and a minimum reception power value; a storage unit; and a calculator having an output controller that calculates an output command calculation value, a load controller that calculates a load command calculation value, and a command value re-calculator that calculates, by using the respective actual values, the output command calculation value, the load command calculation value, and the minimum reception power value, an output command value with respect to the power conditioner, in order to prevent a reception power value from the power system from becoming less than the minimum reception power value.

Abstract: An energy management device in embodiments includes a selection unit and an output unit. The selection unit selects a power supply or load to be controlled in accordance with responsibility, among a plurality of power supplies or loads having different responsibilities, in accordance with a command used to change an amount of consumption of a power supplied from a commercial power supply. The output unit outputs a control signal used to change the amount of consumption of power supplied from the commercial power supply to a control circuit configured to control the power supply or load selected by the selection unit.

Abstract: A storage battery operation plan creation device of an embodiment includes a planner. The planner creates an operation plan of a storage battery on the basis of a graph created on the basis of both a prediction result of each of a power demand and an amount of power generated by a system which uses renewable energy and electricity rate information representing information of an electric power unit price of each time, the graph including a link representing a change of the remaining amount of the storage battery due to charging/discharging of the storage battery at each time and information of a power cost of a destination node of the link caused by the change of the remaining amount.

Abstract: 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.

Abstract: An apparatus operation plan creation device according to an embodiment includes a power generation quantity predictor, a power demand predictor, a hot water demand predictor, an estimator, a decider, a calculator, and a plan creator. The power generation quantity predictor predicts a quantity of power generation. The power demand predictor predicts a quantity of power demand. The hot water demand predictor predicts a quantity of hot water demand. The estimator estimates a quantity of power generation by a fuel cell based on a predicted value of a quantity of hot water demand. The decider decides a quantity of power storage of a storage battery.

Abstract: A battery-system deterioration control device compatible to diversification of applications by appropriately learning a necessary deterioration model for a deterioration control. The battery-system deterioration control device includes a utilization-record-data obtaining block, a learning instruction block, and a learning block. The utilization-record-data obtaining block obtains utilization record data of a battery cell. The learning block updates a data amount of a deterioration model parameter indicating the deterioration state of the battery cell based on the utilization record data, learns the deterioration model parameter, and outputs the learnt result that is a deterioration rate table. The learning instruction block compares the utilization record data and the data amount that is the estimation value, determines the necessity of learning of the deterioration model parameter, and outputs a learning instruction signal to the learning unit.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An energy management system (EMS) according to an embodiment has an EMS functional system which estimates at least one parameter value indicating a property of a power conditioner device. The functional system estimates at least one parameter value indicating a property of the power conditioner device on the basis of measured values of the power conditioner device for converting a DC power to an AC power to output the AC power to a power distribution system, the DC power having been inputted from a power generator or the power storage device.

Abstract: An energy management system includes an overcharging-overdischarging risk storage and a generation storage optimization planner. The overcharging-overdischarging risk storage stores an overcharging-overdischarging risk indicating a risk for overcharging-overdischarging to a power storage device of a hybrid power conditioner for converting a DC power to an AC power to output the AC power to a power distribution system, the DC power inputted from a power generator or the power storage device, the hybrid power conditioner converting an AC power into a DC power to output the DC power to the power storage device, the AC power inputted from the power distribution system. The generation storage optimization planner calculates a control plan value for charging-discharging to the power storage device of the hybrid power conditioner on the basis of at least the overcharging-overdischarging risk, a power demand estimation, and a generated-power estimation for the power generator of the hybrid power conditioner.

Abstract: A price information determination device of an embodiment includes a determiner. The determiner determines electric-price-related information to be output for a consumer from a harmonic intensity of electric current or electric power in an electric power system and from an electric power consumption reduction target; wherein the determination is made based on a correlation among the electric-price-related information, the harmonic intensity of electric current or electric power in the electric power system, and electric power consumption in the electric power system.

Abstract: According to an embodiment, an operation apparatus includes an operation unit which performs an operation for decomposing feature waveforms before and after a change time point at which the operating state of an instrument changes into one or more frequency components, a database unit which stores frequency features representing operating states of a predetermined instrument, a calculator which calculates a weighted distance, on polar coordinates, between an operation result and a feature stored in the database unit, the weighted distance being calculated for each operating state, and an estimation unit which estimates operating states of an instrument, based on the weighted distance.

Abstract: 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.

Abstract: According to one embodiment, a monitoring apparatus comprises a use history accumulating section, a demand prediction generating section, a power generation predicting section, a deterioration table determining section, a charge and discharge schedule creating section, and a transmission section. A use history accumulating section stores a use history of the battery. A deterioration table determining section configured to determine a deterioration table. A charge and discharge schedule creating section configured to create a charge and discharge schedule. A transmission section configured to transmit the demand prediction, the power generation prediction, the charge and discharge schedule, and the deterioration table.

Abstract: 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.

Abstract: There is provided a production management method for steel tubes and pipes produced through a plurality of production processes, including: a step of machining a matrix code, which encodes tube or pipe information, in a tube or pipe end by a laser beam so that the central angle of width of the matrix code in a circumferential direction of the tube or pipe is 30° or smaller; and a step of reading the matrix code automatically by using a linear sensor type camera, wherein through reading the matrix code, the production history is managed by identifying and recording the production information and quality information corresponding to each steel tube or pipe for each tube or pipe number, and the tube or pipe information is retrievable as necessary.

Abstract: According to an embodiment, an estimation system estimates the power generation amount of a photovoltaic power generation unit. The estimation system includes a calculation unit and a coefficient optimization unit. The calculation unit calculates the estimated value of the power generation amount from the estimated value of a solar irradiance based on a power generation coefficient that converts the solar irradiance into the power generation amount. The coefficient optimization unit adaptively changes the power generation coefficient.