The first step in the development of energy-efficient benchmarks for existing buildings is the accurate measurement of the energy consumption patterns. This usually involves data analysis using large volumes of data to understand the space and time distribution patterns of energy use. For example, total energy usage depends on the types of electrical appliances used, such as the heating and cooling systems, as well as their monthly, daily, and hourly usage patterns.
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Creating efficient building energy management systems from room-level big data
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