科技报告详细信息
Deep in Data. Empirical Data Based Software Accuracy Testing Using the Building America Field Data Repository | |
Neymark, J.1  Roberts, D.2  | |
[1] J.Neymark and Associates, Golden, CO (United States);National Renewable Energy Lab. (NREL), Golden, CO (United States) | |
关键词: NREL; field data repository; Building America; validation; empirical data; software accuracy test suite; residential; residential buildings; | |
DOI : 10.2172/1220085 RP-ID : NREL/CD--5500-58893 PID : OSTI ID: 1220085 Others : Other: 6316 |
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美国|英语 | |
来源: SciTech Connect | |
【 摘 要 】
This paper describes progress toward developing a usable, standardized, empirical data-based software accuracy test suite using home energy consumption and building description data. Empirical data collected from around the United States have been translated into a uniform Home Performance Extensible Markup Language format that may enable software developers to create translators to their input schemes for efficient access to the data. This could allow for modeling many homes expediently, and thus implementing software accuracy test cases by applying the translated data.
【 预 览 】
Files | Size | Format | View |
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RO201704180002855LZ | 505KB | download |