| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6764965 | Renewable Energy | 2018 | 37 Pages |
Abstract
To demonstrate the low cost-saving ratio of the data obtains, a study was conducted on predictive modeling of the behavior of an indoor lighting device. Two models are compared: one using diffuse illuminance deduced (from kt) and the other using the diffuse illuminance obtained with SHADECO. Using data measured instead of data deduced can improve by almost 34% the model's accuracy.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Bruno Malet-Damour, Stéphane Guichard, Aurélien P. Jean, Frédéric Miranville, Harry Boyer,