Abstract:
An object of the invention is to provide a data processing system that can appropriately determine data to be used for identification of a prediction model. The data processing system that performs prediction using a prediction model, includes: a selection unit that selects data to be used for identification of a prediction model from a storage unit that stores data; and a processing unit that identifies the prediction model by using the data selected by the selection unit. The selection unit selects, from the storage unit, predetermined first data, and second data of a type and/or condition different from the first data, based on a branch condition of structure data of a structural prediction model.
Abstract:
To improve a prediction accuracy of future demand. A demand prediction system includes a storage device and a processor which is connected to the storage device. The processor is configured to associate time-sequential load data of a resource demand of a plurality of consumers in a consumer set to a plurality of groups, and the storage device is configured to acquire demand pattern data indicating a shape representing the load data in each group and the number of consumers belonging to each group, and calculate shape data indicating a shape of the time-sequential load data of the demand of the consumer set in a predetermined prediction target period on the basis of a record value of the demand pattern data of each group and a record value of the number of consumers of each group.
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:
A system refers to actual weather data made publicly available by a first institution, and creates a model that uses a value of a weather element for each section as an input and uses a value of a renewable energy power generation amount of the area as an output based on the actual value of the weather element calculated for each section, and the actual value of the renewable energy power generation amount of the area. The system refers to weather prediction data made publicly available by the second institution, and calculates an actual value of the weather element regarding each of the plurality of sections including the area based on a prediction value of the weather element for each segment in the corresponding section, and calculates a prediction value of the renewable energy power generation amount based on the prediction value of the weather element for each section.
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:
The invention is directed to predicting demand under circumstances in which continuous total contracted demand characteristics vary within a short time period. This energy demand predicting method is configured in such a way that sets of demand pattern generation data for each of one or more preset combinations of a contracted demand granularity and a time granularity are generated on the basis of actual energy demand information for a default historical period; a demand type is generated for each set of demand pattern generation data; an energy demand at a default historical date and time is calculated as a predicted value for evaluation, for each demand type; a contracted demand granularity and a time granularity are determined on the basis of the predicted value for evaluation for each demand type and the actual energy demand information, in such a way as to minimize an error between an estimated value or a predicted value of energy demand at a historical date and time, and the actual observed value at said date and time; and the energy demand value at an arbitrarily defined date and time is estimated or predicted on the basis of the determined results.
Abstract:
A voltage control apparatus controls a voltage value of power that is supplied to a consumer from either a distribution substation or a pole-mounted transformer. A power management apparatus calculates an adjustable amount of demand for enabling power demand from a plurality of consumers to be adjusted, and sends the adjustable amount of demand to a demand adjustment plan management apparatus. The demand adjustment plan management apparatus prepares a demand adjustment plan for satisfying a request value for the amount of demand adjustment, and sends the demand adjustment plan to the power management apparatus. The power management apparatus, on the basis of the demand adjustment plan, prepares a voltage control plan for controlling the output voltage value of the voltage control apparatus, and causes the output voltage value of the voltage control apparatus to be controlled in accordance with the voltage control plan.
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:
Provided is a data prediction system for predicting a future prediction value. The data prediction system has a data management device which manages data and a prediction operation device which models tendency of an error amount of a prediction operation result calculated on the basis of a correlation with a major explanatory variable and corrects a future prediction value. The data management device includes a storage unit which stores prediction target past measurement data observed with a time transition and explanatory factor data explaining the prediction target past measurement data. The prediction operation device includes a first prediction operation unit which performs prediction on the basis of a correlation between the prediction target past measurement data and the explanatory factor data, a second prediction operation unit which models tendency of an error of an operation result of the first prediction operation unit and performs future error amount prediction of the operation result of the first prediction operation unit, and a correction unit which corrects the operation result of the first prediction operation unit by an operation result of the second prediction operation 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.