SMITE: using smart meters to infer the thermal efficiency of residential homes
Residential homes represent approximately 22 % of global energy use and a large proportion of this is due to space heating. The thermal efficiency of a building is typically evaluated manually via surveys, or via intrusive measurements requiring homes to be vacated for prolonged periods, which can r...
| 主要な著者: | , , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
Association for Computing Machinery
2020
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