A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Measuring solar and electric heating contributions in occupied houses
AbstractMultiple linear regression on weekly average measurements is used to quantify solar and electric heating contributions in fifteen occupied houses. The regression model fits winter data better than summer data. For weekly average behavior, the regression model is a useful descriptive tool. However, further validation and refinement of the model is needed to make it a useful predictive tool.
Measuring solar and electric heating contributions in occupied houses
AbstractMultiple linear regression on weekly average measurements is used to quantify solar and electric heating contributions in fifteen occupied houses. The regression model fits winter data better than summer data. For weekly average behavior, the regression model is a useful descriptive tool. However, further validation and refinement of the model is needed to make it a useful predictive tool.
Measuring solar and electric heating contributions in occupied houses
Smart, Michael G. (author) / Ballinger, John A. (author)
Energy and Buildings ; 9 ; 213-219
1986-04-04
7 pages
Article (Journal)
Electronic Resource
English
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