Abstract: An energy management system (EMS) according to an embodiment has an EMS functional system which estimates at least one parameter value indicating a property of a power conditioner device. The functional system estimates at least one parameter value indicating a property of the power conditioner device on the basis of measured values of the power conditioner device for converting a DC power to an AC power to output the AC power to a power distribution system, the DC power having been inputted from a power generator or the power storage device.

Abstract: An energy management system includes an overcharging-overdischarging risk storage and a generation storage optimization planner. The overcharging-overdischarging risk storage stores an overcharging-overdischarging risk indicating a risk for overcharging-overdischarging to a power storage device of a hybrid power conditioner for converting a DC power to an AC power to output the AC power to a power distribution system, the DC power inputted from a power generator or the power storage device, the hybrid power conditioner converting an AC power into a DC power to output the DC power to the power storage device, the AC power inputted from the power distribution system. The generation storage optimization planner calculates a control plan value for charging-discharging to the power storage device of the hybrid power conditioner on the basis of at least the overcharging-overdischarging risk, a power demand estimation, and a generated-power estimation for the power generator of the hybrid power conditioner.

Abstract: A price information determination device of an embodiment includes a determiner. The determiner determines electric-price-related information to be output for a consumer from a harmonic intensity of electric current or electric power in an electric power system and from an electric power consumption reduction target; wherein the determination is made based on a correlation among the electric-price-related information, the harmonic intensity of electric current or electric power in the electric power system, and electric power consumption in the electric power system.

Abstract: A predicting system configured to predict an inflow volume of rainwater includes a rainfall volume measuring unit for measuring a rainfall volume that has fallen by a present time, a rainfall volume predicting unit for predicting a rainfall volume in a future, and an inflow-volume measuring unit for measuring an inflow volume of rainwater that has flown into an objective facility by the present time. The system also includes a model identification unit, which has a non-linear model having a Neural-Network model for calculating an inflow volume of rainwater from a rainfall volume, and which has a parameter determining part for determining a degree and coefficient parameters of the non-linear model, based on the rainfall volume that has fallen by the present time measured by the rainfall volume measuring unit and the inflow volume of rainwater that has flown into the objective facility by the present time measured by the inflow-volume measuring unit.

Abstract: A treated water quality control system (10) has a sewage inflow estimating unit (1) for estimating an inflow of sewage and a process data storage unit (3) for storing process data on a sewage treatment plant (50). An estimated sewage inflow estimated by the sewage inflow estimating unit (1) and process data read from the process data storage unit (3) are given to a manipulated variable calculating unit (20). The manipulated variable calculating unit (20) calculates values of manipulated variables to be used by a process controller (6) for controlling the sewage treatment plant (50). The values of the manipulated variables calculated by the manipulated variable calculating unit (20) and the process data read from the process data storage unit (3) are given to a process condition estimating arithmetic unit (21).