Rehabilitating missing energy use and weather data when determining retrofit energy savings in commercial buildings /
This thesis evaluates four methods for rehabilitating short periods of missing data. Single variable regression, polynomial models, Lagrange interpolation, and linear interpolation models are developed, demonstrated, and used to fill 1-6 hour gaps in weather data, heating data and cooling data for c...
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| Format: | Thesis eBook |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1999.
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| Online Access: | Link to OAKTrust copy |
Internet
Link to OAKTrust copyCushing: Theses & Dissertations Microforms (Does not check out)
| Call Number: |
1999 Thesis C443 |
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| Call Number | Status | Get It |
| 1999 Thesis C443 | Available | |
Available Online
| Call Number: |
1999 Thesis C443 |
|
|---|---|---|
| Call Number | Status | Get It |
| 1999 Thesis C443 | Available | |