Abstract: According to one embodiment, an operation planning system includes a storage and a plurality of planning devices. The storage is configured to: store information of operating devices and planning devices included in the operation planning system; store a total output required for a plurality of operating devices in a planning period of an operation plan; and store the operation plan including a combination of operating devices operating in the planning period and an output setting value for each of the operating devices in the combination. The plurality of planning devices is configured to: generate the combination satisfying the total output required in the planning period; determine the output setting value for each of the operating devices belonging to the combination; obtain combination data which is data of the combinations generated by the other planning devices; and generate the operation plan based on the combination data.

Abstract: The present disclosure relates to a method, system and device for power generation planning in a power generation system. The power generation system comprises a plurality of Power Generation Units (PGUs). The system receives a power demand data indicative of power required over a pre-defined time period, by a load. A pattern in variation of power among various patterns is identified for each of one or more intervals in the pre-defined time period. An operation technique and a repair technique are determined for each of the one or more intervals based on the pattern. A plurality of working patterns for operating the plurality of PGUs is determined in each of the one or more intervals based on determined operational technique and repair technique for corresponding one or more intervals. System determines individual power outputs to be generated by the number of PGUs determined in each of the plurality of working patterns.

Abstract: The present disclosure relates to a method, system and device for power generation planning in a power generation system. The power generation system comprises a plurality of Power Generation Units (PGUs). The system receives a power demand data indicative of power required over a pre-defined time period, by a load. A pattern in variation of power among various patterns is identified for each of one or more intervals in the pre-defined time period. An operation technique and a repair technique are determined for each of the one or more intervals based on the pattern. A plurality of working patterns for operating the plurality of PGUs is determined in each of the one or more intervals based on determined operational technique and repair technique for corresponding one or more intervals. System determines individual power outputs to be generated by the number of PGUs determined in each of the plurality of working patterns.

Abstract: According to one embodiment, an operation planning system includes a storage and a plurality of planning devices. The storage is configured to: store information of operating devices and planning devices included in the operation planning system; store a total output required for a plurality of operating devices in a planning period of an operation plan; and store the operation plan including a combination of operating devices operating in the planning period and an output setting value for each of the operating devices in the combination. The plurality of planning devices is configured to: generate the combination satisfying the total output required in the planning period; determine the output setting value for each of the operating devices belonging to the combination; obtain combination data which is data of the combinations generated by the other planning devices; and generate the operation plan based on the combination data.

Abstract: A recommendation apparatus according to the embodiments of the present invention includes a history acquirer, a matching information calculator, and a recommender. The history acquirer acquires an activity history of a user. The matching information calculator calculates first matching information for the activity history of a pre-condition defined based on an activity of the user, regarding a control rule including the pre-condition and a post-condition indicating content of control performed for a device, the control rule defining to perform the control indicated by the post-condition when the pre-condition is established. The recommender generates recommendation information of the control rule for the user according to the first matching information.

Abstract: An operational parameter value learning device according to one embodiment learns an operational parameter value of a device for each of users. A calculator is configured to calculate a duration time during which the device is estimated to have operated at each operational parameter value for each of the users based on history information including at least one of: behavior states of the users, an environmental state, and an operational state of the device. A selector is configured to calculate a continuation probability feature amount according to which the device continues an operation at each operational parameter value in each duration time for each of the users on a basis of the duration time calculated by calculator and selects the operational parameter value based on the calculated continuation probability feature amount.

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: A collecting unit collects detection information of human bodies present in plural rooms. The calculating unit calculates movement probabilities at which at least one of individual persons moves from one of two rooms to the other and from the other room to the one room, based on a time difference between human body detections for two rooms and a parameter depending on a movement distance between the two rooms. An updating unit calculates, for each of the rooms, first and second movement probabilities of each of the individual persons, each being a movement probability from the room to each of the other rooms and being a movement probability from each of the other rooms to the room, and updates the in-room probability of each of the individual persons for each of the rooms based on the first and second movement probabilities.

Abstract: 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.

Abstract: 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.

Abstract: A collecting unit collects detection information of human bodies present in plural rooms. The calculating unit calculates movement probabilities at which at least one of individual persons moves from one of two rooms to the other and from the other room to the one room, based on a time difference between human body detections for two rooms and a parameter depending on a movement distance between the two rooms. An updating unit calculates, for each of the rooms, first and second movement probabilities of each of the individual persons, each being a movement probability from the room to each of the other rooms and being a movement probability from each of the other rooms to the room, and updates the in-room probability of each of the individual persons for each of the rooms based on the first and second movement probabilities.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: There is provided a device for determining a rental capacity of a storage battery in which an appliance load predicting unit predicts a demand amount of a household electrical appliance; a power generator predicting unit predicts a power generation amount of a power generator; a constraint condition creating unit creates a constraint condition including first and second constraint expressions, the former matching the predicted demand amount with total electric power supplied to the household electrical appliance and the latter matching the predicted power generation amount with a sum of a power sale amount to the power supplier, a charge amount into the storage battery, and a supply amount to the household electrical appliance; an objective function creating unit creates an objective function based on a sale benefit function, a rental benefit function, a purchase cost function; and an optimization computing unit optimize the objective function to obtains a rental capacity.

Abstract: 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.

Abstract: 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.

Abstract: An energy reducing apparatus includes: an input module through which to input a target energy consumption value; an acquiring module configured to acquire energy consumptions of plural apparatus every measurement period; a totaling module configured to calculate sums of energy consumptions of each of the apparatus in a prescribed period based on energy consumptions measured every measurement period; a calculating module configured to calculate a first index indicating a deviation between an average value of past energy consumptions and a current energy consumption based on energy consumptions measured every measurement period and the sums for each of the apparatus; and an allocating module configured to allocate an energy consumption to each of the apparatus so that the energy consumption value is satisfied by preferentially reducing the energy consumption of an apparatus whose first index is small.

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 hot water supply apparatus calculates a value representing an ordinary index for the hot water usage of each hot water destination, determines hot water supply whose value is less than a threshold as hot water supply of low ordinary, and determines hot water supply whose value is not less than the threshold as hot water supply of high ordinary. The apparatus also calculates a first boiling-up amount for the hot water supply determined as the hot water supply of low ordinary, and calculates a second boiling-up amount for the hot water supply determined as the hot water supply of high ordinary.