Abstract: The disclosure provides a method for suggesting equipment maintenance, an electronic device, and a computer readable recording medium. Equipment operation information of equipment is obtained. An energy efficiency of the equipment is determined according to the equipment operation information. Status difference data of the equipment is generated according to the equipment operation information in response to the energy efficiency meeting a maintenance condition. At least one maintenance item corresponding to the equipment is determined according to the status difference data. Suggestion information of the at least one maintenance item is provided through a display.

Abstract: The disclosure provides a recommended method for replacing equipment and an electronic device. A plurality of reference electricity consumptions of an equipment are estimated by using an electricity consumption prediction model based on equipment operation information of the equipment in a plurality of unit periods. A plurality of actual electricity consumptions of the equipment in the multiple unit periods are obtained. An abnormal electricity consumption time interval is determined by comparing the actual electricity consumptions with the reference electricity consumptions. A replacement index and an equipment energy efficiency of the equipment in the abnormal electricity consumption time interval are determined according to the equipment operation information of the equipment in the abnormal electricity consumption time interval.

Abstract: An energy-saving prediction method for factory electricity consumption and an electronic apparatus are provided. The method includes the following steps. A reference electricity consumption amount in a unit period is predicted based on factory actual operation information in the unit period by using an electricity consumption prediction model. An actual electricity consumption amount in the unit period is acquired. The reference electricity consumption amount and the actual electricity consumption amount are displayed on an electricity consumption reference interface. A function is provided according to a first difference value between the reference electricity consumption amount and the actual electricity consumption amount.

Abstract: A method for building a temperature prediction model is applicable to a heat cycle system, wherein the method is used to measure a temperature of the heat cycle system to generate a measured temperature data, and compute a response time of the heat cycle system, and the method includes aligning the measured temperature data and a setting value of the heat cycle system to generate a training data according to the response time; and building the temperature prediction model according to a statistic model and the training data.