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Assessment of Interval Data and Their Potential Application to Residential Electricity End-Use Modeling.

机译:区间数据评估及其在住宅用电终端建模中的潜在应用。

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On September 30, 2014, the U.S. Energy Information Administration (EIA), with support from the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE), concluded a landmark research project focusing on EIA’s energy consumption end-use models. EIA uses these models to estimate how much of the total energy consumed in commercial buildings and residential units in the United States are used for space heating, air conditioning, refrigeration, lighting, and other end uses. The models use data from the Commercial Buildings Energy Consumption Survey (CBECS) and the Residential Energy Consumption Survey (RECS). The following are major activities included in the year-long research project: Updated the 2003 CBECS engineering end-use models for use in the 2012 CBECS; Developed new engineering models for RECS; Standardized the CBECS and RECS methods of calibrating the sum of engineering end-use estimates to the reported (actual) total consumption; Conducted an assessment of current availability of interval data from advanced metering infrastructure systems (AMI data) and from submeter systems (submeter data) managed by utilities in key jurisdictions in the U.S., and evaluated their usefulness in the end-use modeling of residential electricity consumption.

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