Abstract: A resource accommodation assistance system includes a plurality of information processing apparatuses each including: a storage unit configured to hold a distributed ledger storing transactions issued in accordance with events including power sale from an ordinary household to a retail electric utility, power purchase by a customer through the power sale, and commodity purchase by the ordinary household of a commodity from the customer with a payment token gained from the retail electric utility through the power sale; and an arithmetic unit configured, in the event of commodity purchase, to execute a smart contract, to carry out a transaction for payment on the commodity purchase using the payment token with a predetermined premium bearing by the customer, and to store, in the distributed ledger, the transaction subjected to a predetermined process executed together with another information processing apparatus among the information processing apparatuses.

Abstract: A trading planning apparatus includes an order quantity planning section determining trading quantities with a plurality of trade connections from a trading cumulative quantity and estimated data about future quantities related to demand and the trade connections, a split-time-based split order planning section generating trading and ordering data containing data about an order price or an order quantity related to trading and ordering in each of planned trading periods that are periods into which a trading period, during which trading can be conducted, is subdivided, and a future quantity estimation section estimating estimated quantities of data related to errors in the future quantities estimated from actual record values, the order quantity planning section increasing or reducing the trading quantity of any of the trade connections when a difference between a sum of the trading quantities of all of the trade connections and a future quantity demanded is equal to or greater than a predetermined value.

Abstract: A resource accommodation assistance system includes a plurality of information processing apparatuses each including: a storage unit configured to hold a distributed ledger storing transactions issued in accordance with events including power sale from an ordinary household to a retail electric utility, power purchase by a customer through the power sale, and commodity purchase by the ordinary household of a commodity from the customer with a payment token gained from the retail electric utility through the power sale; and an arithmetic unit configured, in the event of commodity purchase, to execute a smart contract, to carry out a transaction for payment on the commodity purchase using the payment token with a predetermined premium bearing by the customer, and to store, in the distributed ledger, the transaction subjected to a predetermined process executed together with another information processing apparatus among the information processing apparatuses.

Abstract: An energy operation system, apparatus, and method capable of stably supplying energy and providing adjustment control based on prediction precision and planning precision for energy supply and demand. An energy operation apparatus includes a demand predictor, planner, evaluator, and solution quality controller. The demand predictor predicts demand and/or a power generation amount of future energy in a management area. The planner prepares a future energy supply plan in the management area based on a prediction. The evaluator evaluates supply and/or demand conditions including at least one of future weather in the management area, energy demand in the management area, a demand density and/or a generation density of future energy in the management area. The solution quality controller controls the quality of at least one of a prediction solution of the demand predictor and the energy supply plan of the planner based on an evaluation result from the evaluator.

Abstract: Proposed is a data analyzing system and method capable of performing highly reliable analytical processing which matches the actual situation. In a data analyzing device and method in which load data is classified into a plurality of clusters in consumer units based on the load data representing the power usage of each consumer for each unit time and the attribute information of each consumer, a diagnostic decision tree is generated for classifying the consumer into one of the clusters based on the attribute information of that consumer.

Abstract: To minimize the amount of calculation for changing an operation schedule even when there is an increase in the number of sites. A management computer calculates a first total schedule value, which is the total of the schedule values for each of the sites within a first time frame. If the first total schedule value exceeds a first target value set in advance, the management computer: calculates a first excess amount of the first total schedule value in relation to the first target value; selects, as a first site, a site subjected to a change in a demand schedule from a group of candidate sites satisfying a candidate criterion set in advance from among a plurality of the sites, the selection being performed on the basis of information on the facility characteristics for each of the sites; changes a first demand schedule of the first site in the first time frame; and transmits the changed first demand schedule to a control device of the first site.

Abstract: To propose an information processing device and method capable of planning an effective scheme, such as distributing information appropriate to a user. Time-series positional data composed of time-series positional information of a mobile communication body are collected, and a regular behavior of a user of the mobile communication body is estimated on the basis of the collected time-series positional data of the mobile communication body.

Abstract: An energy operation system, apparatus, and method capable of stably supplying energy and providing adjustment control based on prediction precision and planning precision for energy supply and demand. An energy operation apparatus includes a demand predictor, planner, evaluator, and solution quality controller. The demand predictor predicts demand and/or a power generation amount of future energy in a management area. The planner prepares a future energy supply plan in the management area based on a prediction. The evaluator evaluates supply and/or demand conditions including at least one of future weather in the management area, energy demand in the management area, a demand density and/or a generation density of future energy in the management area. The solution quality controller controls the quality of at least one of a prediction solution of the demand predictor and the energy supply plan of the planner based on an evaluation result from the evaluator.

Abstract: According to one embodiment, a power plan supporting apparatus provided for planning a power plan based on time series data regarding the power plan includes a time series classification unit that classifies the time series data into a group of periods in which input conditions are same or similar to each other in an optimization of the power plan, a representative data determination unit that determines representative data for each group classified by the time series classification unit, and a period evaluation value estimation unit that calculates an evaluation value of all the periods by integrating the evaluation value for each representative data determined by the representative data determination unit.

Abstract: The present invention is provided with: a player action prediction unit that predicts the action of a player and calculates a sales order information prediction value; a market physical restraint prediction unit that predicts the state of a power transfer path, which includes grid-connection line available capacity indicating excess transferred power between areas, and calculates a prediction value for the state of the power transport path; and a market prediction unit that predicts a market price on the basis of the sales order information prediction value and the prediction value for the power transfer path state.

Abstract: A trading planning apparatus includes an order quantity planning section determining trading quantities with a plurality of trade connections from a trading cumulative quantity and estimated data about future quantities related to demand and the trade connections, a split-time-based split order planning section generating trading and ordering data containing data about an order price or an order quantity related to trading and ordering in each of planned trading periods that are periods into which a trading period, during which trading can be conducted, is subdivided, and a future quantity estimation section estimating estimated quantities of data related to errors in the future quantities estimated from actual record values, the order quantity planning section increasing or reducing the trading quantity of any of the trade connections when a difference between a sum of the trading quantities of all of the trade connections and a future quantity demanded is equal to or greater than a predetermined value.

Abstract: A data prediction system for calculating a predicted value includes a storage device for storing a measured value of a prediction target, a controller for calculating estimation data of the prediction target on the basis of the measured value, and a combining process module for combining predicted values in a future time period, each calculated by using a different calculation model, and outputting a combined value as a new predicted value.

Abstract: To solve such a problem, demand categories are prepared. ‘Demand categories’ are units of classification for demand. Where the demand included in the ‘demand categories’ is concerned, any attribute such as the contract type, industry type, demand location, and demand generation period constitute the same demand. For example, a management apparatus comprises a sales income calculation unit which calculates sales income derived from supplying demand by using a time interval-differentiated fee unit price for each demand category and a power usage value, an earnings prediction spread calculation unit which compares earnings for each of a plurality of future volume estimation time series relating to power usage volumes of predetermined periods of the demand categories, and a fee unit price search unit which searches for a fee unit price satisfying a limiting condition based on a comparison result.

Abstract: Proposed are an information distribution apparatus and method capable of efficiently distributing information. Clustering processing of collecting time series position data, which is configured from position information of a plurality of mobile communication objects, and classifying the time series position data into a plurality of clusters based on the collected time series position data of each of the mobile communication objects is executed, profiling processing of determining, for each of the clusters, a dominant attribute of each user in which the time series position data was allocated to the relevant cluster based on pre-registered attribute information of each of the users of each of the mobile communication objects is executed, and, for each of the clusters, information to be distributed to each of the users in which the time series position data was allocated to the relevant cluster is determined based on a processing result of the profiling processing.

Abstract: To propose an information processing device and method capable of planning an effective scheme, such as distributing information appropriate to a user. Time-series positional data composed of time-series positional information of a mobile communication body are collected, and a regular behavior of a user of the mobile communication body is estimated on the basis of the collected time-series positional data of the mobile communication body.

Abstract: To minimize the amount of calculation for changing an operation schedule even when there is an increase in the number of sites. A management computer calculates a first total schedule value, which is the total of the schedule values for each of the sites within a first time frame. If the first total schedule value exceeds a first target value set in advance, the management computer: calculates a first excess amount of the first total schedule value in relation to the first target value; selects, as a first site, a site subjected to a change in a demand schedule from a group of candidate sites satisfying a candidate criterion set in advance from among a plurality of the sites, the selection being performed on the basis of information on the facility characteristics for each of the sites; changes a first demand schedule of the first site in the first time frame; and transmits the changed first demand schedule to a control device of the first site.

Abstract: The invention is directed to predicting demand under circumstances in which continuous total contracted demand characteristics vary within a short time period.

Abstract: Proposed are an information distribution apparatus and method capable of efficiently distributing information. Clustering processing of collecting time series position data, which is configured from position information of a plurality of mobile communication objects, and classifying the time series position data into a plurality of clusters based on the collected time series position data of each of the mobile communication objects is executed, profiling processing of determining, for each of the clusters, a dominant attribute of each user in which the time series position data was allocated to the relevant cluster based on pre-registered attribute information of each of the users of each of the mobile communication objects is executed, and, for each of the clusters, information to be distributed to each of the users in which the time series position data was allocated to the relevant cluster is determined based on a processing result of the profiling processing.

Abstract: Proposed is a data analyzing system and method capable of performing highly reliable analytical processing which matches the actual situation. In a data analyzing device and method in which load data is classified into a plurality of clusters in consumer units based on the load data representing the power usage of each consumer for each unit time and the attribute information of each consumer, a diagnostic decision tree is generated for classifying the consumer into one of the clusters based on the attribute information of that consumer.