Abstract: A controller according to an embodiment controls a hydrogen system including at least a hydrogen production system in which received power is planned in advance and a hydrogen production amount changes in accordance with the received power. The controller includes: a processor that calculates, in a preparation time period before a demand adjustment time period in which a target value of the received power is set in advance, a control command value such that input power to be inputted as the received power to the hydrogen production system matches the target value at a start of the demand adjustment time period; and a command controller that outputs the control command value calculated by the processor to the hydrogen production system.

Abstract: A controller according to an embodiment controls a hydrogen system including at least a hydrogen production system in which received power is planned in advance and a hydrogen production amount changes in accordance with the received power. The controller includes: a processor that calculates, in a preparation time period before a demand adjustment time period in which a target value of the received power is set in advance, a control command value such that input power to be inputted as the received power to the hydrogen production system matches the target value at a start of the demand adjustment time period; and a command controller that outputs the control command value calculated by the processor to the hydrogen production system.

Abstract: According to one embodiment, an electricity storage control device includes a setting unit, and a control unit. The setting unit sets, for each time zone, a target state of charge (SOC) of electric energy to be stored in an electricity storage device in the time zone. The control unit controls at least charging or discharging of the electricity storage device based on the set target SOC for each time zone, a SOC detected from the electricity storage device, and a voltage of a supply destination of electric power from the electricity storage device.

Abstract: According to an embodiment, a thermal load estimating device receives actual power consumption of various types of devices installed in a room, a thermal load pattern of a time-series maximum thermal load of the room, and power consumption of the various types of devices in the room; estimates a thermal load of the room at appropriate time based on the actual power consumption, the thermal load pattern, and the power consumption; and outputs an estimated thermal-load value as a result of estimation.

Abstract: According to an embodiment, server includes estimator, condition setter, calculator, receiver, and controller. Estimator estimates an energy demand in building where electrical apparatuses are equipped based on apparatus data. Condition setter sets energy consumption suppression conditions. Calculator calculates operation schedule of apparatuses which can optimize an energy balance in building based on the demand and condition. Receiver receives DR signal including energy consumption suppression condition. Controller controls the apparatuses based on operation schedule calculated based on the condition corresponding to that included in the DR signal.

Abstract: An optimized operating schedule is obtained while avoiding a complexity of formulation and optimization in response to an incentive type demand response. A device includes an energy predictor setting a predicted value of energy of a control-target device within a predetermined future period, a schedule optimizer optimizing the operating schedule of the control-target device within the predetermined period in accordance with a predetermined evaluation barometer, an incentive acceptance determiner determining a time with a possibility that an incentive is receivable, an electricity suppressing schedule optimizer optimizing, for a time with a possibility that the incentive is receivable, the operating schedule of the control-target device based on a unit price of electricity fee having a unit price for calculating the incentive taken into consideration, and an adopted schedule selector selecting either one of the operating schedules.

Abstract: An equipment characteristics model learning device includes an acquisition unit and a model coefficient deriving unit. The acquisition unit is configured to acquire actual values of variables which are used to express characteristics of equipment in a characteristics model indicating the characteristics. The model coefficient deriving unit is configured to derive a value of a coefficient of a simple characteristic model using the acquired actual values, wherein the simple characteristic model corresponds to a value range of a change factor variable which is a variable serving as a change factor for the characteristics among the variables of the characteristic model and indicates the characteristics using variables obtained by lowering the number of dimensions of the characteristic model.

Abstract: According to one embodiment, an electricity storage control device includes a setting unit, and a control unit. The setting unit sets, for each time zone, a target state of charge (SOC) of electric energy to be stored in an electricity storage device in the time zone. The control unit controls at least charging or discharging of the electricity storage device based on the set target SOC for each time zone, a SOC detected from the electricity storage device, and a voltage of a supply destination of electric power from the electricity storage device.

Abstract: An information processing apparatus of the embodiment includes a calculator. The calculator acquires an amount of primary energy consumption at timings in a period of time and an amount of primary energy production at timings in the period of time. The amount of primary energy consumptions has been consumed and/or is estimated to be consumed by a plurality of energy-supplying apparatuses configured to supply energy to a load. The amount of primary energy productions has been produced and/or is estimated to be produced by the plurality of energy-supplying apparatuses. The calculator calculates a net amount of primary energy consumption at the timings in the period of time, based on the acquired amount of primary energy consumption and the amount of primary energy production. The calculator calculates an integrated value of the net amounts of primary energy consumption over the period of time, based on the net amounts of primary energy consumption calculated at the timings in the period of time.

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 operation plan generation device of an embodiment includes a consumption amount computer, a cost computer, and an operation plan generator. The consumption amount computer is configured to compute an amount of primary energy consumption by a plurality of energy supply devices that generates energy to be supplied to a load. The cost computer is configured to compute a total cost for the plurality of energy supply devices to generate energy to be supplied to the load. The operation plan generator is configured to generate an operation plan for the plurality of energy supply apparatuses to achieve at least one of a target relating to the amount of primary energy consumption and a target relating to the total cost, based on the amount of primary energy consumption computed by the consumption amount computer, and on the total cost computed by the cost computer.

Abstract: According to an embodiment, a thermal load estimating device receives actual power consumption of various types of devices installed in a room, a thermal load pattern of a time-series maximum thermal load of the room, and power consumption of the various types of devices in the room; estimates a thermal load of the room at appropriate time based on the actual power consumption, the thermal load pattern, and the power consumption; and outputs an estimated thermal-load value as a result of estimation.

Abstract: An air-conditioning control device controls air conditioning in an air-conditioning zone by using a plurality of types of air conditioners each having a different air supply system. The air-conditioning control device includes a setting unit and an output unit. The setting unit sets air-conditioning load distribution of the air conditioners based on optimal load distribution functions generated based on models of the air conditioners so that total energy consumption of the air conditioners is reduced within a range of comfort of the air-conditioning zone set by a user. The output unit outputs, based on the air-conditioning load distribution set by the setting unit, control values for controlling the air conditioners to controlling devices of the air conditioners.

Abstract: A power consumption management system includes power consumption managers and a power supply manager. Each of the power consumption managers creates changeable power amount information with respect to a planned value of power consumption for each predetermined time range in a preset predetermined period in future, the planned value being related to a load of each piece of equipment in a building as a monitoring target. The power supply manager is connected to each of the power consumption managers through a network, decides a power change request amount for each building based on the created changeable power amount information, and transmits the decided power change request amount to each of the power consumption managers for the purpose of notification.

Abstract: An optimized operating schedule is obtained while avoiding a complexity of formulation and optimization in response to an incentive type demand response. A device includes an energy predictor 10 setting a predicted value of energy of a control-target device 2 within a predetermined future period, a schedule optimizer 11 optimizing the operating schedule of the control-target device 2 within the predetermined period in accordance with a predetermined evaluation barometer, an incentive acceptance determiner 12 determining a time with a possibility that an incentive is receivable, an electricity suppressing schedule optimizer 13 optimizing, for a time with a possibility that the incentive is receivable, the operating schedule of the control-target device 2 based on a unit price of electricity fee having a unit price for calculating the incentive taken into consideration, and an adopted schedule selector 14 selecting either one of the operating schedules.

Abstract: According to an embodiment, server includes estimator, condition setter, calculator, receiver, and controller. Estimator estimates an energy demand in building where electrical apparatuses are equipped based on apparatus data. Condition setter sets energy consumption suppression conditions. Calculator calculates operation schedule of apparatuses which can optimize an energy balance in building based on the demand and condition. Receiver receives DR signal including energy consumption suppression condition. Controller controls the apparatuses based on operation schedule calculated based on the condition corresponding to that included in the DR signal.

Abstract: According to one embodiment, energy management system includes client and server. Server includes acquisition unit, estimation unit, calculator and controller. Acquisition unit acquires, from the client, data concerning electrical equipment of a customer to which a power grid supplies power. Estimation unit estimates energy demand of electrical equipment based on acquired data. Calculator calculates operation schedule of electrical equipment, which can optimize energy balance of customer, based on the estimated energy demand. Controller transmits control information to control electrical equipment based on calculated operation schedule to client.

Abstract: According to an embodiment, provided is an air conditioning control system having a remote controller which collectively controls air conditioning facilities respectively provided in multiple buildings through a network. A building monitoring and controlling device is provided in each of the buildings. The building monitoring and controlling device monitors an air conditioning facility in a building where the building monitoring and controlling device itself is installed, and transmits operation data on the air conditioning facility to the remote controller. The remote controller calculates each operation setting value based on each set of operation data, and transmits the calculated operation setting value to the building monitoring and controlling device corresponding to the calculated operation setting value.

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: According to an embodiment, provided is an air conditioning control system having a remote controller which collectively controls air conditioning facilities respectively provided in multiple buildings through a network. A building monitoring and controlling device is provided in each of the buildings. The building monitoring and controlling device monitors an air conditioning facility in a building where the building monitoring and controlling device itself is installed, and transmits operation data on the air conditioning facility to the remote controller. The remote controller calculates each operation setting value based on each set of operation data, and transmits the calculated operation setting value to the building monitoring and controlling device corresponding to the calculated operation setting value.