| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4945702 | International Journal of Electrical Power & Energy Systems | 2017 | 14 Pages |
Abstract
The results obtained have shown that the compressor makes it possible to obtain an 80% optimisation-time reduction for a given traffic scenario with a total energy-saving error lower than 5%.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
A.J. López-López, R.R. Pecharromán, A. Fernández-Cardador, A.P. Cucala,