Cost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning
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Year
: 2014DOI: 10.1109/ICFDA.2014.6967374
Keyword(s): Creep,Energy measurement,Mathematical model,Strain,Stress,Stress measurement
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Cost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning
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| date accessioned | 2020-03-12T19:46:43Z | |
| date available | 2020-03-12T19:46:43Z | |
| date issued | 2014 | |
| identifier other | 6819237.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/989751 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Cost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8106018 | |
| subject keywords | Creep | |
| subject keywords | Energy measurement | |
| subject keywords | Mathematical model | |
| subject keywords | Strain | |
| subject keywords | Stress | |
| subject keywords | Stress measurement | |
| identifier doi | 10.1109/ICFDA.2014.6967374 | |
| journal title | ystems Conference (SysCon), 2014 8th Annual IEEE | |
| filesize | 889158 | |
| citations | 0 | |
| contributor rawauthor | Shah, J. , Nielsen, M. , Reid, A. , Shane, C. , Mathews, K. , Doerge, D. , Piel, R. , Anderson, R. , Boulanger, A. , Wu, L. , Bhandari, V. , Gagneja, A. , Kressner, A. , Xiaohu Li , Sarkar, S. |