Abstract: A result acquisition unit (130) obtains, for each candidate setting, a simulation result of a case where a candidate setting is applied to the one or more units of equipment. A satisfaction level calculation unit (140) calculates, for each candidate setting, a satisfaction level on a basis of the simulation result. A constraint level calculation unit (150) calculates, for each candidate setting, a constraint level on a basis of the simulation result. A candidate optimization unit (160) judges superiority/inferiority of a plurality of candidate settings on a basis of the satisfaction level of each candidate setting and the constraint level of each candidate setting, and optimizes the plurality of candidate settings on a basis of a judgment result, thereby generating a plurality of new candidate settings. A selection unit selects an applicable setting from the plurality of new candidate settings. A control unit applies the applicable setting to equipment.

Abstract: An area evaluation unit (51) acquires for each area of a plurality of areas, a predictive value of each area which is predicted to be measured when a device operates in a space that includes the plurality of areas. A building evaluation unit (52) acquires an overall predictive value which is a predictive value of the entire space calculated using a plurality of predictive values of the plurality of areas. Further, the area evaluation unit (51) evaluates the predictive value of each area, using a partial evaluation criterion which is an evaluation criterion applied to each area. Further, the building evaluation unit (52) evaluates the overall predictive value, using an overall evaluation criterion which is an evaluation criterion applied to the entire space.

Abstract: An occupancy model selection apparatus (100) includes an occupancy model selection unit (103). The occupancy model selection unit (103) evaluates each of a plurality of occupancy models which predict occupancy situation in a simulation target area during a simulation period, based on a power consumption value corresponding to each of the plurality of occupancy models and on a past input condition; and based on a result of evaluation of each of the plurality of occupancy models, selects an occupancy model that generates a simulation result relatively close to an actual power consumption value in the simulation period corresponding to the past input condition in the simulation target area.