Abstract: An operating system for a vehicle-sharing service includes: a reservation input unit configured to input a usage reservation of an electric vehicle made by a user; a reservation result sending unit; a charging plan creating unit configured to create a charging plan for the electric vehicle; and a cost calculating unit configured to calculate an operation cost of the vehicle-sharing service based on a prediction of an available solar power supply. The charging plan creating unit creates the charging plan such that the operation cost of the vehicle-sharing service has a minimum cost under a predetermined acceptance condition. The result sending unit sends, to the user, a reservation result indicating that the usage reservation is unacceptable when the operation cost calculated according to the charging plan does not satisfy the predetermined acceptance condition.

Abstract: An operating system for a vehicle-sharing service includes: a reservation input unit configured to input a usage reservation of an electric vehicle made by a user; a reservation result sending unit; a charging plan creating unit configured to create a charging plan for the electric vehicle; and a cost calculating unit configured to calculate an operation cost of the vehicle-sharing service based on a prediction of an available solar power supply. The charging plan creating unit creates the charging plan such that the operation cost of the vehicle-sharing service has a minimum cost under a predetermined acceptance condition. The result sending unit sends, to the user, a reservation result indicating that the usage reservation is unacceptable when the operation cost calculated according to the charging plan does not satisfy the predetermined acceptance condition.

Abstract: An availability prediction apparatus includes an access section that accesses a storage section and a prediction section. The storage section stores availability specified periods occurred before a present time associated with respective frequencies of the availability specified periods, and the access section acquires the availability specified periods from the storage section. The prediction section predicts at least one target availability specified period within a prediction term, which begins at the present time and ends at a time later than the present time by a predetermined term. The prediction section includes a correlating section that correlates the availability specified periods with candidate periods included in the prediction term, and a selection section that specifies and selects one of the candidate periods having a highest occurrence probability as the target availability specified period.

Abstract: A power supply system for supplying a grid power to a building includes a power generator, a power storing device, and a power controller. The power generator generates off-grid power from a predetermined energy. The power storing device stores the grid power and the off-grid power and supplies the stored power to the building. The power controller controls consumptions of the grid power and the off-grid power. The power controller calculates predicted consumption data related to power consumed in the building and predicted generation data related to power generated by the power generator. The power controller calculates a charging-discharging schedule for the power storing device based on the predicted consumption data and the predicted generation data by formulating the charging-discharging schedule as a mixed integer programming problem.

Abstract: An availability prediction apparatus includes an access section that accesses a storage section and a prediction section. The storage section stores availability specified periods occurred before a present time associated with respective frequencies of the availability specified periods, and the access section acquires the availability specified periods from the storage section. The prediction section predicts at least one target availability specified period within a prediction term, which begins at the present time and ends at a time later than the present time by a predetermined term. The prediction section includes a correlating section that correlates the availability specified periods with candidate periods included in the prediction term, and a selection section that specifies and selects one of the candidate periods having a highest occurrence probability as the target availability specified period.

Abstract: A power supply system for supplying a grid power to a building includes a power generator, a power storing device, and a power controller. The power generator generates off-grid power from a predetermined energy. The power storing device stores the grid power and the off-grid power and supplies the stored power to the building. The power controller controls consumptions of the grid power and the off-grid power. The power controller calculates predicted consumption data related to power consumed in the building and predicted generation data related to power generated by the power generator. The power controller calculates a charging-discharging schedule for the power storing device based on the predicted consumption data and the predicted generation data by formulating the charging-discharging schedule as a mixed integer programming problem.