An electronic device comprising: a location measurement circuitry; a rechargeable battery; a memory configured to store instructions; and at least one processor, wherein the at least one processor is configured to execute the instructions to: monitor a usage pattern of the battery while the electronic device operates in a first power management state, the first power management state comprising a state in which the at least one processor is driven based on a first maximum driving frequency; predict a reference pattern comprising a future charging pattern of the battery and a future discharging pattern of the battery based on the usage pattern of the battery, by using a model trained based on a discharging history of the battery and a charging history of the battery; compare the usage pattern of the battery with the reference pattern; in response to the comparing, acquire, based on determining that the usage pattern of the battery is different from the reference pattern derived from said model trained based on the discharging history of the battery and the charging history of the battery, information on a location in which the battery is estimated to be charged and information on a time at which the battery is estimated to be charged using the model; and switch, at least partially based on the information on the location and the information on the time, the first power management state to a second power management state, the second power management state comprising a state in which the at least one processor is driven based on a second maximum driving frequency lower than the first maximum driving frequency. a location measurement circuitry; a rechargeable battery; a memory configured to store instructions; and at least one processor, wherein the at least one processor is configured to execute the instructions to: monitor a usage pattern of the battery while the electronic device operates in a first power management state, the first power management state comprising a state in which the at least one processor is driven based on a first maximum driving frequency; predict a reference pattern comprising a future charging pattern of the battery and a future discharging pattern of the battery based on the usage pattern of the battery, by using a model trained based on a discharging history of the battery and a charging history of the battery; compare the usage pattern of the battery with the reference pattern; in response to the comparing, acquire, based on determining that the usage pattern of the battery is different from the reference pattern derived from said model trained based on the discharging history of the battery and the charging history of the battery, information on a location in which the battery is estimated to be charged and information on a time at which the battery is estimated to be charged using the model; and switch, at least partially based on the information on the location and the information on the time, the first power management state to a second power management state, the second power management state comprising a state in which the at least one processor is driven based on a second maximum driving frequency lower than the first maximum driving frequency. monitor a usage pattern of the battery while the electronic device operates in a first power management state, the first power management state comprising a state in which the at least one processor is driven based on a first maximum driving frequency; predict a reference pattern comprising a future charging pattern of the battery and a future discharging pattern of the battery based on the usage pattern of the battery, by using a model trained based on a discharging history of the battery and a charging history of the battery; compare the usage pattern of the battery with the reference pattern; in response to the comparing, acquire, based on determining that the usage pattern of the battery is different from the reference pattern derived from said model trained based on the discharging history of the battery and the charging history of the battery, information on a location in which the battery is estimated to be charged and information on a time at which the battery is estimated to be charged using the model; and switch, at least partially based on the information on the location and the information on the time, the first power management state to a second power management state, the second power management state comprising a state in which the at least one processor is driven based on a second maximum driving frequency lower than the first maximum driving frequency.