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The energy savings from user-participation are crucial for educational institutions and awarenessbuilding activities are essential as well. However, energy related data have been mainly produced by manager group, thus there have been limitations in producing information that users can easily understand or use in education. This is because BEMS or BAS, which is a conventional management system, mainly focused on technical information on building unit itself. Universities have various kinds of buildings within certain area, thus benchmarking analysis through derivation of indicator values is favorable condition. In this study, the usage patterns were classified by analysis of indicators. We also present energy analysis results that can be applied variously to education and announcement by demonstrating the process of energy management through 3-year power load profiling. The group classification considering the level of energy intensity, base load, and temperature sensitivity among various energy indicators, and how to understand and interpret their results and characteristics. Instead of highly technical analysis, only basic level of data analysis suitable for university campuses can produce interactive information with users and use it on the education fields. It is expected that energy saving activities by universities, which are known as big power consumption groups, will be effectively implemented by strengthening energy information creation, which is being neglected due to lack of professional manpower and system operation costs.

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A Study on the Energy Consumption Characteristics in University Buildings based on the Analysis of Power Consumption Indicators - Focused on Load Profiling of S-University -