Abstract: The artificial intelligence device of the present disclosure includes: a memory configured to store a learning model that is learned through a deep learning or machine learning algorithm and predicts an amount of energy corresponding to a component included in a system; and a processor, wherein the processor, by using the learning model, obtains a result predicting an amount of energy corresponding to the component included in the system for a certain period of time, based on data related to the component included in the system, determines, based on the result predicting the amount of energy, a schedule for controlling the component included in the system to minimize a charge based on the amount of energy supplied from a power system for the certain period of time, and controls the component included in the system according to the determined schedule.

Abstract: Proposed are an energy management apparatus and an energy storage apparatus. The energy management apparatus includes an electricity generation amount forecast unit including an electricity generation amount forecast model, a consumption amount forecast unit including a consumption amount forecast model, and a control module configured to detect an abnormality of a solar panel based on a forecast electricity generation amount, which is forecasted on a per-time span basis, and on an actually generated electricity generation amount, wherein the control module corrects the forecast electricity generation amount based on the electricity generation amounts up to now and determines the presence or absence of the abnormality of the solar panel and the cause of a failure of the solar panel based on the corrected forecast electricity generation amount.

Abstract: The present disclosure relates to a heat pump, an operation method of the heat pump, and a server. The heat pump according to an embodiment of the present disclosure may include: a compressor configured to compress a refrigerant; at least one heat exchanger in which heat exchange occurs between water and the refrigerant; a memory configured to store operation data related to an operation of the heat pump; and a controller, and the controller may calculate, based on the operation data, an estimated amount of power expected to be used by the heat pump in a predetermined operation for bringing a temperature of water stored in a hot water supply tank for storing the heat-exchanged water to correspond to a preset target temperature, and determine a schedule for controlling a load of the heat pump during an operating time in which the heat pump performs the predetermined operation, based on the estimated amount of power.

Abstract: Proposed are an energy management apparatus and an energy storage apparatus. The energy management apparatus includes a consumption amount forecast unit configured to forecast an electric power consumption pattern of a user, and a control module configured to provide energy cost saving information varying with a battery capacity, based on a time span-based billing rate, the battery capacity, and the electric power consumption pattern.

Abstract: Proposed are an energy management apparatus and an energy storage apparatus. The energy management apparatus includes an electricity generation amount forecast unit including an electricity generation amount forecast model, a consumption amount forecast unit including a consumption amount forecast model, and a control module configured to detect an abnormality of a solar panel based on a forecast electricity generation amount, which is forecasted on a per-time span basis, and on an actually generated electricity generation amount, wherein the control module corrects the forecast electricity generation amount based on the electricity generation amounts up to now and determines the presence or absence of the abnormality of the solar panel and the cause of a failure of the solar panel based on the corrected forecast electricity generation amount.

Abstract: The present disclosure relates to an energy management apparatus and an energy management method. An energy management apparatus according to one embodiment includes an energy generation prediction unit having an energy generation prediction model, an energy consumption prediction unit having an energy consumption prediction model, and a control module to adjust a power purchase time point and a quantity of power to be purchased for each time zone based on the predicted energy generation output from the energy generation prediction model and the predicted energy consumption output from the energy consumption prediction model.