Abstract:
An operation state determination system includes a receiver, a first memory and a determiner. The determiner is configured to compare, at a prescribed determination time point, a power value stored in the first memory with a reference value to determine whether or not an electric load connected to a branch circuit is in operation, and output a signal in accordance with a determination result. The determiner is further configured to determine that the electric load is in operation at the prescribed determination time point, when a time period during which the power value is equal to or more than the reference value occurs within a comparison time in past before the prescribed determination time point.
Abstract:
An appliance inference device includes a receiver, a first storage, an analyzer, an inference module and a second storage. The first storage stores pieces of power information in each of which a value of electric power received by the receiver is correlated with a time. When a piece of power information stored in the first storage satisfies a prescribed condition, the analyzer classifies the piece of power information as a group corresponding to the condition. The inference module checks the piece of power information classified as the group by the analyzer with appliance information stored in the second storage, thereby inferring the name of an electrical appliance corresponding to the group. The second storage stores the appliance information, with the information correlated with the name of the electrical appliance.
Abstract:
A demand prediction system includes a receiver, a memory, an extractor, a model generator and a predictor. The extractor is configured to extract consumption periods for branch circuits, during each of which power is consumed once. The model generator is configured to generate models. Each model includes: an order in which the consumption periods have occurred; amounts of electric power respectively consumed during the consumption periods; and start time points and duration times, of the consumption periods. The model generator is further configured to calculate transition probabilities between the models. The predictor configured to predict, as a prediction result, an amount of electric power that is demanded in a prediction period defined as a time period after a determination time point, based on: a certain model in past before the determination time point, of the models; and a transition probability corresponding to the certain model.
Abstract:
An inferrer calculates, for each kind of living activities, an occurrence probability defining a probability that a corresponding living activity occurs, based on an operational state of an electric appliance determined by a detector for each of sections at an inference target time by use of prior probabilities, first conditional probabilities, and second conditional probabilities, and infers that a living activity having a highest occurrence probability has occurred at inference target time. Prior probabilities each define a probability at which a corresponding living activity occurs in one day. First conditional probabilities each define active and inactive probabilities of electric appliance belonging to a corresponding section under a condition where a corresponding living activity occurs. Second conditional probabilities each define probabilities of occurrence of a corresponding living activity within respective time periods divided from one day under a condition where a corresponding living activity occurs.
Abstract:
A receiver acquires power values respectively consumed through two or more branch circuits. A first memory stores power information in association with relevant information that relates to the power information. The power information includes date and time, and a power value corresponding to each branch circuit. A feature extractor extracts a feature value in the power information of each branch circuit. A rule extractor sets the relevant information to an explanatory condition for a change in the feature value, and extracts a rule for deriving the feature value from the explanatory condition. A predictor, when a target value is set to the building for power saving in an object period, acquires the relevant information in the object period, and applies the rule to the relevant information acquired so as to predict the feature value corresponding to each branch circuit in the object period.
Abstract:
In order to reduce demand power on utility grid through electrical energy storage and suppress reduction in remaining capacity of electrical energy storage, power supply control apparatus includes judging module and estimator. Judging module judges whether to allow electrical energy storage to feed power into electrical load within target period while electrical energy storage in building is requested to feed power into electrical load. Estimator performs estimation of present state in which user of electrical load is present in building or absent state in which user is absent from building. Judging module judges to allow electrical energy storage to feed power when estimation by estimator is present state, within target period and judges to prohibit electrical energy storage from feeding power when estimation by estimator is absent state, within target period.
Abstract:
A behavior prediction device includes an acquisition interface for acquiring a power consumption value by an electric load for each of branch circuits divided inside a distribution board in an object space (a dwelling), and a predictor for working out a stop time based on power information in which the power consumption value is related with date and time at which the power consumption value is acquired. The stop time is a time at which the power consumption value will fall to a predetermined reference value. Based on the stop time, the predictor predicts a kind of specified behavior of a user in the object space and a time at which the behavior will occur.
Abstract:
A power usage estimation device includes an acquisition unit, a first storage unit, an analysis unit, an estimation unit, and a second storage unit. The first storage unit stores pieces of power information each including a corresponding one of power values acquired by the acquisition unit and a day and a time which are associated with the corresponding one of the power values. The analysis unit classifies one or more pieces of power information satisfying a predetermined condition, of the pieces of power information stored in the first storage unit per day, into one of groups which corresponds to the predetermined condition. The estimation unit estimates power usage of a branch circuit by comparing the one or more pieces of power information of the groups stored in the second storage unit between a plurality of days having identical attributes.