The power saving device of the power saving system using public big data according to the present invention comprises: a data collection unit collecting first environmental data and first power data from the data server by month, season, or time slot; The collected first environmental data and the first power data are analyzed with a set deep learning model to predict the optimal power usage for each environment, and a reference range of the energy usage of the switchboard based on the predicted optimal power usage. Big data analysis unit to set; And a big data analysis value providing unit that provides an analysis result of the second environmental data and the second power data collected in the switchgear in real time based on the optimal power usage and the reference range. Compared with the actual amount of power used, it is provided to a user or an administrator to accurately, efficiently, and smartly reduce power.
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