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Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate
Understanding indoor humidity conditions in low energy homes in hot-humid climates is critical to promoting long term occupant comfort, indoor air quality and building durability. The results of this study were expected to inform the residential building community on whether suppl...
Kerrigan, P. and Norton, P. National Renewable Energy Laboratory
Apr 27, 2016
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7 Resources
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BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
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4 Resources
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