Electronic apparatus and operation method for predicting hvac energy consumption using machine learning

An air conditioner comprising:

• memory, comprising one or more storage media, storing instructions;
• a communication circuit;
• a display;
• and
• at least one processor coupled to the memory, the communication circuit, and the display,
• wherein the instructions, when executed by the at least one processor individually or collectively, causes the air conditioner to:
• receive a user input of setting a target power amount;
• obtain, through the communication circuit, weather information from a server;
• obtain a power consumption amount consumed by the air conditioner corresponding to the weather information;
• obtain air conditioner operational preference information of the user;
• store the obtained weather information and the obtained power consumption amount corresponding to the weather information as a training data for an artificial intelligence model;
• train the artificial intelligence model such that, when the obtained weather information is inputted to the artificial intelligence model, the artificial intelligence model outputs the obtained power consumption amount corresponding to the weather information,
• obtain, through the communication circuit, weather forecast information;
• determine an output data outputted from the artificial intelligence model when the weather forecast information is inputted to the artificial intelligence model as a predicted power consumption amount to be consumed by the air conditioner corresponding to the weather forecast information;
• display, through the display, the predicted power consumption amount of the air conditioner output from the artificial intelligence model;
• and
• perform a power saving operation by controlling a compressor of the air conditioner when the predicted power consumption amount of the air conditioner is within a predetermined range of the target power amount based on the preference information of the user, the target power amount, and the weather information.

One or more non-transitory computer-readable storage media storing one or more computer programs including computer-executable instructions that, when executed by one or more processors of an air conditioner individually or collectively, cause the air conditioner to perform operations, the operations comprising:

• receiving a user input of setting a target power amount;
• obtaining weather information from a server;
• obtaining a power consumption amount consumed by the air conditioner corresponding to the weather information;
• obtaining air conditioner operational preference information of the user;
• storing the obtained weather information and the obtained power consumption amount corresponding to the weather information as a training data for an artificial intelligence model;
• training the artificial intelligence model such that, when the obtained weather information is inputted to the artificial intelligence model, the artificial intelligence model outputs the obtained power consumption amount corresponding to the weather information;
• obtaining weather forecast information;
• determining an output data outputted from the artificial intelligence model when the weather forecast information is inputted to the artificial intelligence model as a predicted power consumption amount to be consumed by the air conditioner corresponding to the weather forecast information;
• displaying the predicted power consumption amount of the air conditioner output from the artificial intelligence model;
• and
• performing a power saving operation by controlling a compressor of the air conditioner when the predicted power consumption amount of the air conditioner is within a predetermined range of the target power amount based on the preference information of the user, the target power amount, and the weather information.