Abstract: This electricity-demand prediction device is provided with a data reception unit, an individual-model generation unit, and a demand-prediction computation unit. Vehicle probe data in which specific driving states are recorded is inputted to the data reception unit, and on the basis of said vehicle probe data, the individual-model generation unit generates an individual model for each specific vehicle or for each user of a specific vehicle. Said individual models represent correlations between historical values associated with factor information regarding factors in decisions to charge specific vehicles at a specific charging facility and historical values representing electricity demand for said specific vehicles at said specific charging facility. The demand-prediction computation unit computes a predicted electricity demand for the specific vehicles at the specific charging facility on the basis of the generated individual models.

Abstract: This electricity-demand prediction device is provided with an area-feature-value prediction unit, an individual-model acquisition unit, and a demand-prediction computation unit. Measured data relating to vehicles is input to the area-feature-value prediction unit, and for each of a plurality of areas, the area-feature-value prediction unit predicts an area feature value for a feature relating to vehicles associated with the area in question. The individual-model acquisition unit acquires individual models for specific vehicles. The individual models take area feature values as input and output electricity-demand values for the specific vehicles at a specific charging facility. The demand-prediction computation unit inputs the predicted area values to the individual models to compute a predicted electricity demand for the specific vehicles corresponding to the individual models at the aforementioned specific charging facility.

Abstract: There is provided a system that can evaluate an operation learning level of a trainee quantitatively and accurately, with a temporal element taken into account. A learning level evaluation system 10 of the present invention executes a procedure evaluation process to evaluate operation procedures, and a timing evaluation process to evaluate operation timings. The procedure evaluation process evaluates the degree of similarity of encoded trainee data obtained by encoding trainee data that is recorded according to operation performed by a trainee, with respect to encoded expert data obtained by encoding expert data that is recorded according to operation performed by an expert. The timing evaluation process evaluates a deviation between timings at which the same operation is performed, on the basis of the encoded expert data and the encoded trainee data.