MACHINE LEARNING DEVICE, DEMAND CONTROL SYSTEM AND AIR-CONDITIONER CONTROL SYSTEM

A machine learning device learns a set temperature, in a target space, in order to achieve a demand target value that is an upper-limit value of a power consumption of an air conditioner, installed in the target space, in a predetermined period. The machine learning device includes a learning unit, first and second acquisition units, and an updating unit. The first acquisition unit acquires a first variable including at least one of the power consumption of the air conditioner and an indoor state value correlated with a state in the target space. The second acquisition unit acquires evaluation data useable to evaluate a control result of the air conditioner. The updating unit updates, by using the evaluation data, a learning state of the learning unit. The learning unit performs learning in accordance with an output of the updating unit. The evaluation data includes the power consumption of the air conditioner.